Mumbai, April 13, 2026: SAP, a market leader in enterprise application software and business AI, 听today announced that (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries, 听is adopting to strengthen its 51风流delivery capabilities and support faster enterprise transformation programs. By integrating 51风流Joule for Consultants the company aims to streamline implementation workflows for customers across the entire 51风流project lifecycle鈥攆rom discovery and design to development, testing, and post-deployment support.

Empowering Consultants with AI at Scale

听Building on SAP鈥檚 Suite-First and AI-First strategy, the collaboration will streamline business processes, with Joule integrated across applications to provide AI insights and improve productivity.

听This aligns with Tech Mahindra鈥檚 鈥淎I Delivered Right鈥� strategy that empowers enterprises by equipping them with the tools and processes to maximize AI investment from strategy development to solution implementation.

听Grounded in SAPs most authoritative knowledge base, including content not available to third-party tools, 51风流Joule for Consultants transforms SAP鈥檚 deep institutional expertise into an intelligent conversational assistant for consulting teams.

Building on Tech Mahindra鈥檚 extensive domain expertise, the solution is expected to enable several key benefits for its consulting teams, including:听

• Faster knowledge discovery: Consultants can retrieve relevant 51风流documentation, implementation guidance, and best practices through natural language queries 鈥� early deployments indicate up to 28鈥�30% reduction in research time.
• Efficient project execution: By simplifying access to trusted technical guidance and implementation standards, teams can accelerate delivery across 51风流transformation projects.
• Tangible consultant productivity improvement: Automating routine research and knowledge retrieval can help consultants save 2 hours per day, enabling greater focus on high-value strategic activities.
• Greater accuracy and consistency: Access to authoritative guidance helps teams follow proven implementation approaches and maintain alignment with established standards.
• Accelerated cloud transformation: Strengthening Tech Mahindra鈥檚 capabilities in supporting enterprise transformation journeys such as RISE with SAP, 51风流Joule for Consultants enables organizations to accelerate cloud migration and improve delivery quality, lowering total cost of ownership (TCO).

Vinay Sanil, Global 51风流Practice Head, Tech Mahindra, said, 鈥淓nterprises today are moving rapidly from AI experimentation to scaled, outcome-driven transformation. However, a key challenge remains fragmented access to knowledge and the time-intensive nature of translating expertise into execution. Our adoption of 51风流Joule for Consultants addresses this gap by embedding AI-driven intelligence directly into the delivery lifecycle. By enabling instant access to trusted 51风流knowledge and automating routine tasks, we are empowering our consultants to enhance productivity, accelerate project timelines, and deliver greater value to customers.鈥�

Advancing AI-Driven Enterprise Transformation in India

The selection reflects accelerating Business AI adoption across India, as enterprises modernize core processes and move from experimentation to scaled AI deployment. 51风流continues to see strong momentum for the 51风流Business Suite, with organizations across industries using embedded AI to reimagine finance, supply chain, HR, and customer experience functions.

By embedding 51风流Joule for Consultants into delivery workflows, Tech Mahindra is enabling faster time-to-value for customers while improving overall project quality and execution speed across 51风流transformation programs.

Ravinder Amar,听 Vice President – Enterprise Business, 51风流India Subcontinent, said, 鈥淎I is redefining how enterprise transformation is delivered. With 51风流Joule for Consultants, Tech Mahindra gains direct access to SAP鈥檚 most comprehensive knowledge foundation, empowering its teams to translate AI innovation into measurable business outcomes. We are proud to support our partners as they scale intelligent delivery capabilities across India and beyond.鈥�

Tech Mahindra joins a growing ecosystem of global system integrators and consulting firms, including KPMG and Wipro, that are leveraging 51风流Joule for Consultants to enable more efficient, insight-led digital transformation programs worldwide.

Media Contacts

Itisha Bhatnagar | itisha.bhatnagar@sap.com

Vinidha Ganeshan | vinidha.ganeshan@bursonglobal.com

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While the Summit听was听historic听in terms of听outcomes,听including the New Delhi Declaration and听an increasing focus on听sovereignty,听it also revealed a divergence in perspective.听The public image听of听India鈥檚 AI听opportunity听is听gripped by听what鈥檚听most visible:听tools that generate听content and听reshape how听we听interact with technology. But the more consequential story is unfolding away from the spotlight.听听

To understand where this transformation is truly taking shape,听let鈥檚听distinguish between听the听two dimensions of AI.听Consumer-centred听AI is the lightbulb that illuminates possibility,听creativity听and听assistance. Enterprise-focused听AI, by contrast, is the power plant听that听quietly and reliably energises听operations at scale. While one captures imagination, the other delivers outcomes.听听

Encouragingly, adoption of this听Enterprise听AI听is already听gaining momentum.听According to the recent听51风流Value of AI听survey, in听collaboration with Oxford Economics,听nearly听a听quarter of business tasks in India today are supported by AI. In less than two years, that share is expected to rise to over 40%. Even more telling is the confidence behind this acceleration,听with 93% Indian enterprises expecting measurable returns from their AI investments within the next one to three years.听听

This is India鈥檚 inflection point.听Having moved beyond听initial听exploration,听India鈥檚听focus is now on bringing greater alignment and coherence to unlock AI鈥檚 full enterprise potential.听

From Experimentation to Integration听

The next phase of India鈥檚 journey requires a shift from isolated pilots to听everyday听execution. AI must become a core capability听as part of our听supply chains, finance, human capital, and customer engagement. This transformation听can rest on four pillars:听

• The Demographic Dividend:听India鈥檚 greatest advantage is its people.听The听deep technology talent pool gives听the country听a strong foundation听to take AI from small experiments to real鈥�world impact听enabled by听a continued听investment听in reskilling and domain-led AI听expertise.听

• Data Foundations:听AI demands听accurate, contextual, and interconnected data from across the business.听听As听we scale听adoption,听the next phase will rely on听strengthening听our听data foundations听to听create听semantically rich environments听to power听more effective AI systems.听

• AI as an Amplifier:听The more critical the application, the more AI depends on the structured processes and traceability that robust enterprise systems provide.听听

• Trust as a Catalyst:听As AI integrates into critical infrastructure, trust听will听become the primary currency of scale. India鈥檚 evolving regulatory frameworks听like the听data protection laws听offer听guardrails that enable speed.听听

Redefining Value: The IMPACT听听

In an unpredictable global economy,听we must look beyond traditional financial metrics. While Return on Investment (ROI)听remains听a baseline,听it鈥檚听time we move to return on impact. The IMPACT can be seen as:听

I 鈥� Infrastructure:听Building secure, sovereign, and interoperable digital highways.听

M 鈥� Measurable Outcomes:听Tracking gains in health, education, and quality of life.听

P 鈥� Policy & Guardrails:听Ensuring ethical AI through robust, transparent frameworks.听

A 鈥� AI Embedding:听Making听AI听as a horizontal听across all sectors to make it a tool for daily life.听

C 鈥� Citizen-Centricity:听Designing inclusive, multilingual solutions.听

T 鈥� Talent & Trust:听Investing in workforce skills and fostering public confidence.听

The momentum听of AI听in India is real听and the opportunity is unprecedented.听Only by focusing on听all of听the areas of the听IMPACT听framework听can we听realise that incredible听promise.听听

The task now is to听transition听from fragmented progress to meaningful, systemic impact. In the journey听towards听a听Viksit Bharat听鈥撎齀ndia鈥檚 blueprint to becoming a听fully听developed nation by 2047 –听AI is no longer just a digital tool,听it is a strategic imperative for a resilient and innovative nation.听

听

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Bengaluru, March 18, 2026: 51风流Labs India and SRH University Germany today announced the signing of a Memorandum of Understanding (MoU) to expand their strategic education partnership to India. The agreement establishes a framework for curriculum co-design, 51风流Certification integration and industry-embedded learning, strengthening collaboration between academia and enterprise technology leaders to prepare the next generation of digital talent.

The MoU was signed in Bengaluru by Sindhu Gangadharan, Managing Director, 51风流Labs India, and Dr. Thorsten Bagschik, Managing Director, SRH University, as part of the official Berlin Senate delegation visit to India.

The partnership builds on the SAP鈥揝RH collaboration launched in Germany in December 2025 under the leadership of Andre Bechtold, President 51风流Industries and Experiences, and extends the initiative to India, giving Indian students access to globally recognised enterprise technology credentials while embedding 51风流expertise directly into university programmes.

The initiative reflects SAP鈥檚 broader learning transformation strategy, which focuses on meeting learners where they already are by integrating industry-relevant skills into academic environments. 51风流aims to equip 12 million people with AI-ready skills by 2030, and collaborations with universities play an important role in building a strong global talent pipeline.

As part of the partnership, higher education students and faculty members will receive free access to 51风流Learning Hub, student edition, including 51风流learning content, practice systems, live sessions and up to two certification exam attempts per year. 51风流is also redefining certification through practical, AI-enabled assessments that focus on real-world problem solving rather than memorisation, enabling learners to develop skills that are directly applicable in enterprise environments.

By integrating 51风流learning content and certification pathways directly into university programmes, the initiative will help build a sustainable pipeline of enterprise technology professionals equipped with the skills required to support digital transformation across industries.

Sindhu Gangadharan, Managing Director, 51风流Labs India, said, 鈥淚ndustry and academia must work closely together to prepare talent for a rapidly evolving digital economy. By extending our partnership with SRH University to India, we are creating new opportunities for students to build enterprise technology skills that are directly relevant to the needs of global businesses. Initiatives like this are central to SAP鈥檚 ambition to equip 12 million people with AI-ready skills by 2030 and to build a strong pipeline of future-ready technology talent.鈥�

Dr. Thorsten Bagschik, Managing Director, SRH University, said, 鈥淥ur collaboration with 51风流reflects our commitment to delivering education that is deeply connected to industry. By integrating 51风流expertise and certifications into our programmes, we ensure that students graduate with skills that are immediately relevant in the global job market. Extending this partnership to India further strengthens the bridge between academic learning and real-world enterprise innovation.鈥�

This partnership builds on 51风流Labs India鈥檚 broader engagement with academia and skilling institutions to strengthen India鈥檚 digital talent ecosystem by building future-ready technology talent.

About SAP
As鈥痑 global leader in enterprise applications and business AI, 51风流(NYSE:SAP)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted SAP鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

For more information, visit

Press Contacts
Shikha Pushpan; s.pushpan@sap.com
Chandrika Jana; chandrika.jana@sap.com

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鈥淲ith one integrated platform that connects data from farmers through processing, warehouses, and retail, we are transforming the traditional food chain from supplier-driven to demand-driven,鈥� said Karthik Jayaraman, co-founder and managing director at WayCool. 鈥淲e selected听听because it is a flexible, cloud-based foundation for our growing business.听听provides a single source of truth company-wide and across our ecosystem, helping us produce and deliver the delicious food that consumers want on their table.鈥�

The company has already reduced food wastage by up to 96% while improving the average income of farmers by over 13%.

Data Insights Align Food Supply with Demand

Putting predictability and farming in the same sentence might seem like a stretch in a world rocked by disruptions like extreme weather and geopolitical conflicts. However, WayCool orchestrates a groundbreaking collaborative effort. It starts with farmers who produce the fruits, vegetables, and other staples that feed the Indian population and extends to partners, warehouse operations, distribution, and retailers.

鈥淪haring information with our partners in procurement who run processing and warehouse facilities, along with transportation logistics and retail, we can align supply with the right pricing for greater efficiencies and governance that produces the highest quality products,鈥� said Avinash Kasinathan, chief technology officer at WayCool. 鈥淒ata transparency also means that farmers can base field production on actual market demand and consumption.鈥�

Farmer Income Grows with Data-Driven Strategy

WayCool鈥檚 ability to trace products from farm to end consumer provides the company and its ecosystem with forecasting and planning insights based on real-time customer feedback and market demands. Using this connected data, WayCool makes recommendations to farmers on what fruits and vegetables to grow for the highest yields and uptake at the best prices.

Fourth-generation farmer Hari Prasad, located in a village called Karnataka on the outskirts of East Bangalore, is one of the over 200,000 farmers that WayCool provides with detailed cultivation plans.

鈥淯nlike traditional farming, WayCool recommends what to plant, when, and where, letting us know up front what they鈥檒l purchase at fair prices based on harvest time frames and factoring in staggered market demands,鈥� he said. 鈥淲e don鈥檛 have to worry about whether or not we鈥檒l sell our yield, and we can calculate continuous earnings in a more predictable and consistent manner.鈥�

Although farmers may have smaller yields, harvesting crops on a more consistent basis throughout the year levels out supply and demand spikes and downturns. If crop prices fall one week and rise the next, farmers can average out major risks with a steadier stream of income over time.

AI-Based Technologies Reduce Waste and Boost Crop Yields

WayCool has infused听AI听capabilities across its digitalized supply chain to increase quality yield and decrease waste. AI is built into the recommendation engine that tells retailers which products on their shelves will sell faster according to store location demographics. In the field, farmers use AI-based image recognition to quickly identify plant diseases and set up treatment plans. -based sensors in the soil send farmers alerts on weather patterns to guide more cost-efficient and sustainable irrigation decisions. The company is exploring generative AI use cases as well.

Sustainable Agriculture Vision for the World

Fourth-generation farmer Hari Prasad, located in a village called Karnataka on the outskirts of East Bangalore, is one of the over 200,000 farmers that WayCool provides with detailed cultivation plans.

鈥淯nlike traditional farming, WayCool recommends what to plant, when, and where, letting us know up front what they鈥檒l purchase at fair prices based on harvest time frames and factoring in staggered market demands,鈥� he said. 鈥淲e don鈥檛 have to worry about whether or not we鈥檒l sell our yield, and we can calculate continuous earnings in a more predictable and consistent manner.鈥�

Although farmers may have smaller yields, harvesting crops on a more consistent basis throughout the year levels out supply and demand spikes and downturns. If crop prices fall one week and rise the next, farmers can average out major risks with a steadier stream of income over time.

AI-Based Technologies Reduce Waste and Boost Crop Yields

WayCool has infused听听capabilities across its digitalized supply chain to increase quality yield and decrease waste. AI is built into the recommendation engine that tells retailers which products on their shelves will sell faster according to store location demographics. In the field, farmers use AI-based image recognition to quickly identify plant diseases and set up treatment plans. Internet of Things (IoT)-based sensors in the soil send farmers alerts on weather patterns to guide more cost-efficient and sustainable irrigation decisions. The company is exploring generative AI use cases as well.

Sustainable Agriculture Vision for the World

For WayCool and its partners, sustainable business encompasses the full range of environmental, social, and governance (ESG) commitments. Digitalization has an important role, for example, in regenerative farming practices. Farmers can use data-driven insights to produce stronger seeds for biodiversity, growing crops that are more climate-resilient and use less water and fertilizer in healthier soil.

Looking ahead, Jayaraman is eager to bring WayCool鈥檚 digitalized business model from India to other regions such as Southeast Asia, the Middle East, and Africa.

鈥淭he food supply chain is a huge global market, yet agribusiness is one of the least digitized industries,鈥� said Jayaraman. 鈥淲e鈥檝e experienced how technology is revolutionizing food chains in India, and we鈥檙e excited about bringing people in other parts of the world greater access to affordable, quality food for the next generation of sustainable agriculture.鈥�

This story was originally published on the global 51风流News Center.

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Clearly, AI is increasingly being used behind the scenes to help businesses improve efficiency, optimize operations, and boost productivity. However, many firms still struggle to understand how AI best fits their business strategy. Recent indicates that 7 out of 10 companies reported minimal or no impact from the contributions of AI鈥揳 missed opportunity. Multiple studies and surveys have highlighted the significant differences between leaders鈥攃ompanies that understand and have implemented AI鈥攁nd laggards. The comprehension of AI data and training, as well as the attitude to it, is one of the key differences.

To close the 鈥楢I-outcome-expectations gap,鈥� senior management needs to grasp the benefits AI brings to the table and understand the baseline strategies required to make a lasting, strategic change.

The advantages of AI for businesses today

Much has been written (and spoken) about AI and its use in business. Automation, data analytics, and natural language processing are just a few commercial areas where artificial intelligence is already in use. These three disciplines of AI are streamlining operations and increasing efficiencies across sectors. This leads to quantitative and qualitative advantages such as:

• Increased productivity:听According to , business productivity in developed countries can increase by up to 40% by 2035, owing to AI.
• Greater economic benefits: A predicts that 83% of companies have already achieved either moderate (53%) or substantial (30%) economic benefits from their AI projects.

• More time for meaningful work: Companies often evaluate AI solutions in three key areas:
  • Whether AI can automate processes to empower higher-value work (47%)
  • Whether it provides trust in business outcomes (40%)
  • Whether it offers the ability to deploy anywhere鈥攐n any public cloud, private cloud or on-premises (40%)

In other words, a robust AI solution can empower businesses to achieve business efficiencies and free up valuable human talent for skilled work.

• Improved business value:听A study by suggests that AI augmentation will create $2 trillion of business value by 2021鈥揺qualling 6 billion hours of worker productivity worldwide.
• Competitive advantage: As per a study conducted by , around three-quarters of executives attribute AI to be the key-enabler for venturing into new businesses. Around 85% believe AI will help the brand obtain鈥搊r sustain鈥揳 competitive advantage.

The list is endless. However, whether you’re a giant corporation with ample resources or a smaller firm with the much-needed nimbleness, AI adoption can be a tricky process. What is required is an understanding of the tradeoffs associated with each technology. Understanding these technologies and tradeoffs will help businesses decide how to best meet planned goals, which vendors to choose, and how quickly they can put a system like this in place.

Understanding鈥揳nd bridging鈥搕he gap to be AI-ready

Not investing in the right AI-enablers can do more harm than good. To capitalize on AI鈥檚 true potential, businesses need to have a robust AI-centric strategy in place. Such a strategy ideally requires:

• A connection between the data and AI-friendly business teams: An IT-driven siloed AI operational model cannot produce impactful results. In fact, research indicates that increasing data complexity and data silos (32%) are top barriers to AI adoption. Clearly, AI and data by themselves lend little value to business operations.
  To extract the deep-buried analytics and drive performance, the leadership team should reinforce greater collaboration and synergy between the data group and the business teams. The end goal is to solve the problems and issues together, preferably using a bottom-up approach.
• Experienced and accountable AI professionals: Limited AI expertise or knowledge grapples 39% of organizations, according to a recent IBM Artificial intelligence is a completely different ball game. Companies need to reconfigure the workforce with the right mix of talent, skill, and experience in equal measure. While AI-powered initiatives are partnership-led, the entire effort should be championed by a single point-of-contact, for example, a Chief AI Officer.
• A crystal-clear (data)focus on the tangible benefits: To effectively tune out the data noise, there needs to be a 鈥榮ingular鈥� focus on choosing projects that can be categorized as absolutely 鈥榥ecessary.鈥� Moreover, the data and AI should be intrinsically tied to the corporate end-goals. If the business problem is not solvable by AI, all the effort and investment will go to waste. Long story short, these projects should be able to provide tangible values and benefits, such as lower customer churn, acquiring new customers, and so on. In addition, it is critical to view the end goals as use-cases or benefit-driven outcomes. This step is essential for value building and can build credibility within the teams.
• Strategic stakeholder- and project-alignment and a greater CEO involvement: This strategy focuses on building momentum and confidence within the stakeholders. A recent throws light on the importance of strategic AI implementation. The report claims that strategically scaling AI offers 3X the return as compared to businesses pursuing siloed proof of concepts. This can easily happen if there is buy-in from all the key stakeholders across all three stages of project development: before, during, and after. By fostering stakeholder trust and leadership alignment early on in the project, businesses can pave the way for successful and sustainable projects.
• Realistic expectations on AI scalability:听When scaling AI, most businesses fall into the 鈥榰nrealistic expectations鈥� trap鈥揳 big mistake. A copy-paste approach never works with AI. What may work for some businesses might not work for others. Therefore, taking the time to link AI to the business strategy is key. There are numerous ways to do this, such as:
  • Launching a proof-of-concept project that can effectively demonstrate value and providing the required 鈥榚vidence鈥� before proceeding with full-force
  • Starting small, with a simpler use case project, and gathering all the necessary data and technology to make the project feasible
  • Experimenting and learning new approaches and not focusing on efficiency gains too much while experimenting
  • Constantly measuring the efficacy of the AI solutions being used
  • Spending enough time, effort, and energy into understanding how AI can deliver results within the business work environment
• Increased and well-conceived investment:听One of the biggest factors of low-yielding returns is significant under-investment into the existing infrastructure. To leverage artificial intelligence and create an analytics-ready foundation, it is high-time organizations invest in fair and trustworthy tools and platforms. These tools should ideally be explainable by design and should enable enterprises to develop AI models seamlessly and scalably. There鈥檚 also a greater need to invest in new skills and expertise on a significant scale.
• In-depth project planning from pilot to long-term: AI projects should always be viewed with respect to 鈥榩rogress鈥� down a funnel. There should be a clear idea and proof-of-concept at the beginning and detailed steps for execution towards the end. This type of project pipeline can be augmented with tried-and-tested project management principles such as resource analysis, stakeholder communication, change management analysis, etc.
• A robust governance structure: Enterprises need to build trust within and outside the organization to unlock untapped potential of artificial intelligence. Being AI-driven means bringing about a change in mindset rather than mindlessly upgrading a stack of futuristic software. By building a transparent and cross-domain structure around data governance, organizations can leverage best practices and benefit from a solid AI-ready foundation. It is all about identifying the right roles, setting realistic expectations, and managing accountability.

AI is augmenting multiple business areas; from automating everyday workflows to enhancing the customer experience, its applications are aplenty. But there are some real questions business leaders should be asking themselves:

鈥�Am we actually leveraging the full potential of AI, is it designed to fit the business needs?鈥澨�

鈥�Are we able to move past the deployment and adoption barriers?鈥�

鈥�Are we genuinely AI-ready?鈥�

In short, instead of viewing AI projects as a one-off investment or embracing it as a tangent of moonshot thinking, businesses need to have:

• An AI-first strategy:听Having complete clarity and vision of artificial intelligence and data across the value chain is the stepping stone to success.
• A strong skills and culture-driven base:听The next logical step is to build a foundation based on strong technical know-how and a stronger 鈥�AI-ethics-driven鈥� cultural mindset. Furthermore, businesses need to forge ahead with greater trust, collaboration, and systematic alignment between teams and instill a culture of experimentation to drive AI innovation.
• An iterative and adaptive approach in place:听Businesses need to be ever-ready to make changes to the business initiatives, the people, and the processes as required. Without an iterative approach and agile decision-making, leaders can get stuck in a rut.

In short:听AI-readiness for organizations is not a small ask. It requires a cultural shift, a change in the technological paradigm, and most importantly, an establishment of a data-driven value chain that is people-focused鈥揵e it the internal employees or the external stakeholders. Irrespective of the tools, platforms, skills, or methodologies organizations embrace, a tangible, intentional, and change-focused AI strategy will always emerge as the winning combination.

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As a result, the pharmaceutical market has grown exponentially, and this is expected to continue in the years to come.听听indicates that the global pharmaceutical manufacturing market,听valued at USD 405.52 billion in 2020, is expected to grow at a compound annual growth rate (CAGR) of 11.34% from 2021 through 2028.

Compounding the Covid-19 impact are factors like technological advancements, an increase in the number of elderly, focus on the healthcare needs of growing countries, a rise in chronic disorders, and higher spending by pharma companies on research and development.

Naturally, every player wants to make the most of the myriad opportunities present in the market. Consequently, competition among different pharmaceutical companies has been fierce. Numerous parameters are driving this intense competition within the sector:

• Greater innovation: Companies are competing with each other in the infectious disease landscape to drive innovation. In fact,听Covid-19has paved the way for a听dollar vaccine market.
• Value-driven care: Some companies are competing on customer experience, with organizations going above and beyond their call of duty. For instance, Eli Lilly, an American pharmaceutical company, is offering support to its diabetic patients who have lost their jobs or their insurance policies due to Covid-19.
• Change in operations: As per听a recent , there is a fundamental change in pharma operations. Covid-19 has forced companies to be more open-minded, transparent, and agile. There is also a greater focus on improving network risks, both within and outside the workforce.
• Increased transparency: While the traditional-and-highly-regulated pharma industry has always been slow to embrace emerging technologies, the ongoing pandemic has changed the equation. Today, pharma brands are increasingly investing in deploying digital and AI-driven analytical tools to boost transparency across key areas such as drug development, marketing, manufacturing, and so on.
  A recent report by听indicates that 75% of large organizations鈥攖hose earning more than US$10 billion in revenue every year鈥攊nvested over US$50 million in AI projects/technologies. Even smaller organizations鈥攖hose with annual revenue of US$5-10 billion鈥攆ollow the same trend; 95% of such mid-sized organizations invested up to US$50 million in 2020.

• Increased drug spending: According to a new听, a total of 300 new drugs are expected to be launched over the next five years by 2026. This is much higher than the number of new drugs launched in the last decade. Demand too is expected to see a rise鈥攖he global spending on medicines is expected to grow at a CAGR of 3-6%. While this may seem paltry, here鈥檚 the real deal鈥攕pending is expected to reach about $1.8 trillion by 2026. This is in addition to the spending on Covid-19-related vaccines and booster shots.

If competition is going to be the bedrock of growth in the near future, then听artificial intelligence听will play a crucial role in determining which pharma brands stay ahead of the pack.

How AI is Helping Pharmaceutical Companies to Stay Competitive?

1. Artificial Intelligence can improve the drug discovery process:

Pharma brands are leveraging the power of AI to aid the relatively expensive and competitive drug discovery process. AI solutions can successfully identify disease patterns in large datasets and help understand which drug compositions would be best suited for treating different diseases. For example, the MIT-industry consortium, ‘‘, which听听pharmaceutical giants such as Bayer, Lilly, Novartis, Pfizer, etc., uses MIT鈥檚 robust machine learning solutions to improve the drug recovery process. This can:

• Help efficiently access and analyze vast amounts of chemical data to ultimately improve business processes and outcomes
• Provide critical insights into how to improve the designing, optimizing, and synthesizing of drugs

More recently, GSK听听with Vir Biotechnology to leverage artificial intelligence for identifying antiviral compounds that can treat coronaviruses, including Covid-19.

By embracing AI solutions, pharma companies are actively working on lowering R&D costs, preventing human errors, and accelerating the research timeline鈥攍eading to affordable-yet-profitable drugs.

2. AI can help in the process of drug development and production by making it more effective:

Did you know that only 14% of all drugs in clinical trials win approval from the FDA, as per research by听? That is a poor outcome for clinical trials that can cost around听 for each newly approved听drug. This means the drug approval process can turn out to be a costly affair if the drug does not get approved. This is where AI can play an instrumental role in improving鈥攁nd optimizing鈥攖he drug development process. Artificial intelligence tools can improve the success rate of new drugs by:

• Performing quality control and ensuring high-quality standards
• Driving increased automation of daily core workflows
• Fixing supply chain issues within the production line and reducing wastage of materials
• Enhancing the production reuse value
• Performing predictive maintenance and reducing operational costs
• Forecasting demand and supply changes

3. AI can provide diagnostic assistance and empower physicians to deliver personalized treatment

At the heart of personalized treatment lies real-time patient data. AI-powered solutions and machine learning technology can empower healthcare brands to:

• Embrace a data-driven approach and analyze volumes of patient data
• Set up an electronic medical record system, whereby healthcare enterprises can store sensitive patient data on secure cloud platforms
• Drive customized treatment options in real-time by enabling doctors to look at historic patient data, previous diagnostic tests, etc.
• Successfully diagnose issues. For instance, recently, the听authorized the marketing of an AI-drive platform鈥擥I Genius鈥攚hich can assist clinicians in detecting signs of colon cancer. This medical device leverages machine learning and AI algorithms to look for potential lesions in real-time during a colonoscopy.
• Engage in remote patient monitoring using AI-powered wearables, which is especially useful in times of a global pandemic. Such is the popularity of remote patient monitoring (RPM) devices that the global RPM systems market is projected to be worth over听by 2025.Here is a real-life example:听Chinese tech giant听Tencent听with a London-based healthcare firm, Medopad, to develop an AI software that can reduce the diagnosis time for Parkinson’s Disease from 30 minutes to 3 minutes. This is achieved by looking at the existing video footage of patients and using video analysis to promote early diagnosis, successful screening, and accurate daily evaluation of key functions.

4. Artificial Intelligence can help predict epidemic outbreaks

Machine learning models are being used to predict鈥攁nd prevent鈥攅pidemics such as Malaria. According to a听 conducted in Maharashtra, a data mining classification algorithm鈥擲upport Vector Machine (SVM)鈥攚as used to successfully predict the onset of malaria in the early stages with a lower error rate. This type of AI/ML tool can empower organizations to engage in early preventive care and put the right measures in place to combat it. Here鈥檚 how AI can assist in epidemic prevention:
Step 1: The AI/ML tools feed on real-time information that is gathered from disparate sources across the web.

Step 2: The predictive tool studies a multitude of environmental, biological, and other factors to make connections with previous epidemic outbreaks and provide relevant patterns, trends, and solutions.

Another excellent of predictive forecasting is GlaxoSmithKline鈥檚 use of AI to promote its seasonal medicines in the Allergy Cold and Flu category. The brand leverages a predictive model that helps chart how the upcoming season for allergy or cold and flu will shape across varied geographical regions; including where it may peak and where it may lag. This empowers the brand to:

• Inform consumers about the upcoming flu season through their website
• Enhance the national and regional media delivery
• Keep the retailers informed of key factors such as seasonal distribution, stock up, display, etc.

5. AI can enable pharma companies to 鈥榮ell and market鈥櫶齜etter as well as smarter

Considering that the pharma industry is inherently sales-driven, pharma companies can leverage the power of Artificial Intelligence in driving a more targeted and personalized marketing campaign. AI tools can be used to:

• Collect customer data in real-time, map out the customer journey and understand the customer鈥檚 needs, preferences, behavior, etc. better
• Curate unique marketing strategies that are aligned with the customer鈥檚听distinctive needs as well as the company鈥檚听business goals
• Measure the efficacy of marketing campaigns and analyze key performance indicators conversion rates, retention rates, etc.
• Analyze previous marketing campaigns and engage in a comparative analysis, to eliminate any inefficiencies in existing strategies. It can also help predict the success rate of marketing campaigns

AI tools can also be used to learn about in-store/online customer behavior. For instance, GlaxoSmithKline uses AI for tracking the eye movements of consumers and retailers (with their consent). The brand studies this data鈥攃ollected using special听eye-tracking glasses worn by shoppers in stores or听online鈥攊n its dedicated shopper鈥檚 science lab, thus, enabling it to听monitor听how the end-user looks at the products. The AI-powered tool captures key images during the shopping process and provides analysis for Areas of Interest (AOI) metrics such as the time to first fixation, heatmaps, gaze plots, video replays, etc. This invaluable data can be used to engage in better product placement, improve the artwork and labeling of products, and discern consumer behavior from the inside out.

The writing is on the wall

It is the day and age of听Artificial听Intelligence. Almost no industry is untouched by AI, and the pharmaceutical industry is no different.

AI听today finds application in nearly every aspect of the pharma product lifecycle.听So naturally, the use of artificial intelligence in the pharma industry is not going to slow down any time soon. In fact,听听suggests that 50% of global healthcare companies will actively execute AI strategies and adopt this futuristic technology by 2025.

This is hardly surprising as AI-powered solutions can bring down costs, enhance patient care, foster profitable innovation, and improve business outcomes across the value chain. Clearly, Artificial Intelligence is the future of pharma and the future is here.

The post Role of AI in The Pharmaceutical Industry appeared first on 51风流India News Center.

Today鈥檚 organizations generate a lot of data, and the听digital asset management听of the collected data is necessary to take advantage of the same.听The digital era has given birth to ideas and concepts that were before unimaginable. Digitization, digitalization, and digital transformation are three of them. It’s difficult to tell the difference between them because they’re often used interchangeably.听However, knowing the difference is critical for the organization’s business development team as they aim to welcome them on their technological travels.

Difference between Digitization, Digitalization, and Digital Transformation

The terms digitization, digitalization, and digital听transformation听all appear to be the same and are often a source of confusion, but these are certainly very different.

In simple terms,听Digitization听focuses more on internal optimization of processes like automating tasks and minimizing paperwork.听Digitalization听goes far beyond that. It refers to听digital asset management听that helps your firm achieve higher growth, among other benefits.

Digitization is crucial for digitalization. It is used to convert information from analog to digital format. At the same time, digitalization uses digital technologies and data to create new opportunities that change the way customers and businesses interact with each other.

Digital transformation听is the actual corporate transformation that is made possible by听digitalization. The term 鈥榙igital鈥� in the name is a bit misleading; the essence of digital transformation is a change in business processes or business culture, implemented via technology.

Impact of digitalization on enterprises

To be competitive in this new commercial and economic situation, the tactics and technology adopted by organizations need to change. Most executives see the strategic value of technology as an important part of doing business, not just as a source of cost savings.听

In 2004,听Target听outsourced its听, which is considered supplementary, to Amazon. Target redesigned its location and devised a new and updated design that blurred the line between e-commerce and physical stores. Tremendous changes were made in more than 400 stores, which were rebuilt and outfitted using modern technology. Innovation in services also took place in online ordering, in-store pickup, and curbside food pickup.

These investments provided a huge advantage to Target during the pandemic. The sales through curbside pickup service increased by听. The market share of the company increased by $9 Billion, adding $15 Billion to its revenue.

Another example is听Hasbro,听the toy and gaming firm that invested significant money into its digital and data strategy, including听digital asset management. The collected data was used for targeted marketing efforts across many platforms, including a more robust social media push. The information allowed the corporation to understand its clients better and provide parents with appropriate toy and game recommendations. In Q4 of 2020, Hasbro reported more than听听in online sales, an increase of 43% YOY.

Digitized change lies in utilizing new advancements to guarantee the adaptability and versatility requested by clients. Applications providers and technology and infrastructure merchants have acknowledged and profited from the force of innovative advancements like cloud, big data, mobile, social, sensors, and so on.

Here are听nine ways听how digitalization impacts medium and large-scale businesses and helps them to grow in today’s digital-first world:听

• Increased focus on customer behavior and needs

Customer purchasing patterns have changed drastically over time. According to Statista, around听听shopped online across the globe in 2020. With the growing trend of online purchasing, consumers may not only take advantage of the convenience of having the goods delivered to their door, but they can also compare a brand鈥檚 products and services to those of companies in other industries.

Today, every brand wants to improve the online product purchase experience for its consumers and increase the efficiency of all processes to satisfy their expectations.

• Innovation is fuelled by digitalization

Digitalization has a significant influence on innovation. As technologies become more advanced and innovative to meet customers鈥� demands, new industry trends and possibilities are likely to emerge.

Online banking is one of the most well-known examples of innovation propelled by digitalization. With quick, dependable, and secure mobile applications, you can effortlessly transfer or manage your money. You can even use the online banking app to pay your prepaid and postpaid bills, without having to leave your house.

• Social media makes it easier to reach customers听

Social media platforms such as Facebook, Instagram, Twitter, Snapchat and various others have gained a significant influence due to digitalization. Businesses see these platforms as a chance to expand and enhance brand exposure in the digital era. Now, an online user is most likely to come across content created by various organizations to promote their brands, launch new products etc. As per听, the importance of online presence has increased post the pandemic, and only about 20% of B2B customers are expected to return to in-person sales.

听is a superb example of a traditional company that uses social media to increase its brand image. Rolex stands for class, and appeals to the customers by emphasizing its unique, timeless products. The luxury appeal of its high-value products is enhanced with the help of sleek and minimalist visuals in its photography, videos, and other visual work. Such high-quality product photographs enable the brand to have a higher recall value and stand apart from competitors.

• Reduction in human errors

Business operations have become more streamlined because of digitalization, resulting in lower operating costs. Automation has taken away repetitive and mundane tasks from human employees, lowering the chances of errors. For example, people-powered data entries take a long time to be vetted, verified and cleaned up before they can be used for any purpose. Data that is incomplete or incorrect can stymie product launches and bias strategic analysis. All these hurdles can be done away with through digitalization.

• Real-time data gathering and analysis is possible

Over the past few decades, organizations have relied on data collected from various sources, manual data cleansing and standardization. This traditional analytical model is labor-intensive, costly, time-consuming, and depends too much on the skills of data analysts.

Digital media marketers can now capture data, store it, analyze it and communicate results, all in a matter of minutes. This provides businesses with valuable customer knowledge in one place. Marketers can also look at campaigns to see what’s working and what’s not, so businesses can quickly adapt to the current trends to improve their results.

• Introduction of new communication channels

The use of digital technology has resulted in the introduction of new communication channels as well as a rise in a company’s digital presence. Emails, smartphone apps, and social media are just a few examples of the current communication methods. Forward-looking companies are aiming at creating a seamlessapproach for their customers. Here, their experience of interacting with the company using numerous digital communication channels is smooth and enjoyable.

• Pooling of knowledge sources and skills

We now have access to limitless experiences and data, thanks to digitalization. Every business can utilize information that exists outside conventional bounds. Similarly, companies that understand how to bring collaborative groups together can grow and generate surplus economic value. Digitization allows diverse individuals to collaborate, bridging the gap between IT and non-IT departments and changing the way firms generate value.

• Transaction costs are lower

Documentation, reconciliation, mail generation, calling, data entry, overtime, and supervision are those areas where digitalization facilitates the reduction in costs. Online businesses see easier operation management, which leads to lowered transaction costs.

• Expansion in Revenue

The primary goal of any business is income generation; higher the revenue, greater the growth. A colossal effect impact on revenue generation is observed in organizations that have introduced digital changes. Using innovative digital solutions in your organization provides you a competitive advantage, and a well-thought-out digitalization strategy may help you rethink procedures, enhance quality, and promote consistency.听

In conclusion

Thus, digitalization is more an opportunity than a challenge for all companies, regardless of their industry, location, or market. Digitally driven advances have not only changed the enterprise but have redefined the scope of leadership. To explore the full potential of such a change, choose an experienced partner like 51风流that can combine multi-industry expertise with state-of-the-art technical capabilities.

The post Here鈥檚 How Digitalization Can Benefit Your Firm appeared first on 51风流India News Center.

The potential of AI to optimize business is reflected in its growing popularity.听听predicts that at least 90% of new enterprise apps will insert AI technology into their processes and products by 2025. In the Asia-Pacific region (excluding Japan), IDC says that the need for enterprises to apply AI to improve operational resilience and income generation has听听because of the pandemic.

This brings us to the question: How can AI enable digital transformation in modern-day businesses?

With the help of AI, businesses can make better use of the data they collect and use it to improve their products and services, as well as to develop novel initiatives. Advanced analysis helps gain intelligent insights from an enormous volume of data, turning it into a competitive advantage. This helps businesses make complex yet accurate decisions in different fields, ranging from customer experience to supply chain management.

• Customer experience- AI helps match and exceed customer expectations

AI has gained prominence in the areas of customer service and customer experience. Businesses, particularly those in the marketing sector, can use AI to better understand their customers’ requirements and preferences and create accurate customer profiles. AI also helps understand customer behavior trends, purchasing history, and digital channel involvement.

Today鈥檚 customers need personalized experiences and will look for better alternatives if they feel that a brand cannot understand their needs. AI is critical for swiftly accessing customer information so that personalized experiences can be created and reinforced. Businesses who understand this have invested heavily in digital tools that allow them to understand the customers鈥� psyche and expectations at every touchpoint. According to a recent听听study, more than half of the large organizations polled said that improving customer experience was the most important driver for AI deployment.

Cognitive Process Automation also plays a significant role here. Using AI technologies such as Machine Learning,听Natural language processing and Advanced Analytics, systems can process abstract data and use that to make inferences, assumptions, expand their capabilities and learn. This technology is being used to create 鈥榙igital co-workers鈥�, enabling the organization to become lean and mean without compromising on superior customer service.

• Supply chain management- AI helps in reducing risk, increasing agility

Market volatility and changing consumer demands have made clear the need for agility and flexibility in supply chains. While modern-day supply chains are becoming increasingly difficult to manage, the demand for a sustainable and resilient supply chain has made the role of supply chain professionals more complex.

AI-based tools and solutions drive enterprise-wide visibility into all aspects of the supply chain. They weed out deep-rooted inefficiencies and uncertainties, bring in powerful optimization capabilities required for more accurate capacity planning, and promote safer working conditions. No wonder then that a听听found that six out of ten supply chain professionals expect to use AI extensively in their operations in the next five years.

• Sales and marketing – Predicting the future is easier with AI

AI is the primary enabler for concepts such as predictive modeling, predictive data and forecasting. Combining CRM tools with the power of AI can enable businesses to analyze and detect patterns in customer sales data and identify, score and reach out to high-quality leads. Sales and marketing teams can also use AI-powered platforms to draw meaningful analytics and craft meaningful engagement strategies. And these tools are not replacing the human workforce; instead, AI is reducing repetitive work and freeing up human personnel to take on more intelligent tasks.

• Operations 鈥� AI provides actionable intelligence without burdening staff

By integrating AI algorithms into operational programs that support organizational activities, repetitive activities can be automated while information analysis will be more reliable and quicker. The time to search and process data will be cut down, and more data can be processed to inform judgments. This makes it easier to boost productivity and free employees to focus on higher-level tasks, improve operational excellence, customer happiness, and staff satisfaction.

• Cybersecurity- AI can minimize threat surface and keep data safe

Lately, bad actors have stepped up the use of AI in their cyberattacks, making these threats more sophisticated and dangerous. Traditional cyber-mitigation strategies can’t compete with such advanced methods. It is here that AI comes into play, as a key factor for improving organizational defense. No wonder AI in cybersecurity was one of听听top nine security themes for 2020.

In the fields of cybersecurity and threat intelligence, AI has a wide range of applications.

• Facial and speech recognition, spam or phishing detection, and virus detection are the most popular use cases.
• Pattern recognition technology can identify regulated personal data in need of protection.
• Unsupervised machine learning can categorize websites and identify high-risk sites.
• Unsupervised machine learning can find near-duplicates in phishing and spam attempts.

Selecting the Ideal AI-Based Solution

Putting AI at the heart of your company streamlines your daily tasks and transforms the way you do business, both in terms of learning and performance. Yet, investing in AI is a risky affair. It requires significant time, money, effort and a deep understanding of the multiple options available in the market today. However, to harness the maximum potential of AI, organizations need a solution tailored to their wants and needs. 51风流offers an array of听听that can be customized to meet these specific business needs of organizations and strengthen your competitive advantage in the digital age.

The post In the Digital-First World, AI-Based Digital Transformation Initiatives are the Rage appeared first on 51风流India News Center.

In the connected world we see today, companies rely heavily on technology and reimagining their business models. The IT industry is probably at its highest point since its inception as the world tries to align itself with a digital-first future. According to the听, 65% of global GDP is likely to be digitalized by 2022 and will drive over $6.8 trillion of direct DX investments from 2020 to 2023. The guide also predicts that by 2022, 70% of all organizations will see accelerated use of digital technologies, transforming existing business processes to drive customer engagement, employee productivity, and business resiliency.

As digital reality becomes our only reality, businesses are turning to digital IT tools to keep up with the demands of continually changing customer expectations. They are now eager to embrace the latest digital IT trends and rethink their IT system management. Interestingly, the most significant trends may not exactly be cutting-edge, but they are causing maximum impact in the business landscape.听Here are five of them:

Workplace Automation:听

Automation isn’t a new trend; but it will be seen in more fascinating and transformational ways in the following years. While future automation technology holds vast scope, even today鈥檚 technological advancements are adequate to automate tedious manual processes and streamline workflows. Automation can help enhance productivity, utilize resources better and increase customer satisfaction levels.听

According to听, 50 percent of knowledge workers will engage with their own AI-enhanced robot assistant on a regular basis, which will support them in identifying and prioritizing tasks, collecting data, and automating repetitive chores. Meanwhile,听听predicts hyperautomation will play a massive role in the future. It is referred to as a tech trend where companies combine AI, IoT, machine learning and robotic process automation to enhance the ways people complete their tasks.

Conversational AI:

When the pandemic struck, many businesses turned to conversational AI to sustain and improve customer and employee communications. It took away the burden of routine transactions and processes from employees and helped them focus on strategic initiatives.

Today, has become a mandate for success for any organization, especially those dealing with a huge volume of customer service queries. There has been an addition of innovative technologies to its cognitive capabilities, leading to increased market demand for AI skillsets.

Conversational AI has evolved with the deployment of chatbots and virtual agents, coupled with adjacent technologies like NLP (Natural Language Processing) for contextual understanding. It can better understand and mimic human language and deliver highly personalized conversations.

Big Data Analytics:听

Big data analytics is playing an integral role in the digitization and automation of business operations. It has emerged as a game-changer for all types of organizations, from SMEs to global behemoths. According to听, executives accelerated their investment in data analytics even during the pandemic, when overall IT spending was on a decline.听

As the amount of generated data continues to grow exponentially, big data analytics is playing an integral role in enabling data-driven decision-making.听Within the umbrella term of big data analytics, decision intelligence is a theme that is rapidly gaining popularity. It includes a variety of decision-making methodologies for designing, modeling, aligning, deploying, and tracking decision models and processes. It also consists of a framework that combines rules-based approaches and modern techniques like AI and machine learning.

Overall, big data analytics allows organizations to use meaningful patterns to make data-driven decisions, predict future outcomes and detect anomalies in operations.听For this, an organization needs to have proper database management as a first step. Organizations adopting enterprise data management can achieve the goals of their data analytics journey faster.

AR and VR:

听For most of us, our initial experience of Artificial Reality (AR) and Virtual Reality (VR) was through social media or gaming. Of late, there has been a deepening realization of the immense potential of AR and VR in business. These technologies make it possible to create a digital environment for customers that matches their demands, responds to real-time stimuli, and tracks their activities.听

For example, automobile manufacturers are utilizing augmented and VR business developments to make car-buying more convenient for all customers. Customers can locate the precise automobile they want, take a virtual test drive, and even apply for finance directly from the VR car showroom.听

With the support of AR/VR communication systems, reporting programs and mobile storage apps, many sectors, such as retail businesses and service providers, have been able to stay afloat during and after the pandemic.听AR and VR also hold exciting possibilities for a big chunk of the workforce that is now remote or hybrid. There are remote assistance programs and immersive alternatives to videoconferencing available now. New technologies allow candidates to ‘virtually shadow’ existing employees or visit a company’s office without leaving their homes.听

Edge Computing:

Edge computing is increasingly becoming a valuable component of a holistic industrial automation strategy. Targeted at improving performance and lowering latency in widely dispersed networks, edge computing has unveiled new business opportunities and enhanced operational efficiency within the IT infrastructure.

With the rise of the (IoT), organizations are expected to reshape their IT infrastructure to gain maximum benefits. Edge computing will be required by IoT devices such as manufacturing floor robotics and intelligent traffic controllers, which will require localized processing and real-time connectivity. As remote working becomes the norm, businesses can also improve application performance and overall user experiences for remote workers with edge resources.听

Partner with Experts听

Gearing up for is a massive undertaking and given the rapid pace of change, digital technologies will become wholly integrated into the business ecosystem very soon.听听focuses on simplifying enterprise IT with the use of futuristic technologies and helps organizations achieve digital transformation quickly and cost-effectively.听

The post Future of Work- Five Digital Trends in the IT Sector to Watch Out For appeared first on 51风流India News Center.

With a shared commitment to enable digital equity, 51风流India and Microsoft announced the launch of a joint skilling program, TechSaksham, for empowering young women students from underserved communities to build careers in technology. Through this joint initiative, 51风流India and Microsoft will skill 62,000 women students in artificial intelligence, cloud computing, web design, and digital marketing.

The TechSaksham program will partner with the AICTE Training and Learning Academy-ATAL and State Collegiate Education departments, to support the professional development of faculty at participating institutes. In the first year of implementation, the initiative will train 1,500 teachers and each faculty trained will be equipped to support over 50 students in one year, impacting 60,000 – 75,000 students.

A collaborative, pan India initiative, TechSaksham will be implemented by Edunet Foundation, who will develop future-ready skills in young women graduating in sciences, engineering, computer applications, and vocational studies. The program offers a core curriculum to understand the application of technology and activity-based engagements to implement the skills under expert mentors, ensuring job readiness. Students will also get an opportunity to showcase their work to business leaders and experts from local industries, helping establish early linkages with industry ecosystems.

Centers of Excellence for enabling employment opportunities

Select teachers and institutes will be identified during and after the first year of TechSaksham’s implementation to establish a nodal center in each target geography. In the subsequent years, these nodal centers will drive outreach to regional institutions and motivate students and teachers to participate in the program. Furthermore, the TechSaksham will help create local community linkages and develop connections with local industry to create strong career pathways for all participating students.

TechSaksham听 will focus on delivering the following outcomes in the first year of implementation:

• Build skills of the future. 2000 students听across India 鈥� for employment in tech related fields.
• Establish college to industry linkages. Support students with opportunities for internships, jobs and micro-entrepreneurship opportunities听to 50% of the qualifying students
• Build scalable ecosystems for sustenance.听Drive capacity building by听training 1500 teachers听and establish听5 nodal centers. With each teacher having the potential to influence over 50 students, around 60,000 students will be indirectly impacted in the first year.
• Engage in a cultural relook. Drive students towards innovation, collaboration, and entrepreneurial mindset to raise students to be original thinkers who can be uniquely productive. Showcase听50 technical solutions that solve local problems delivering societal impact.听

About AICTE
The All India Council for Technical Education (AICTE) is the statutory body and a national-level regulatory council for technical education, under the Department of Higher Education, Ministry of Education. It is an apex body, responsible for proper planning and coordinated development of the technical education and management education system in India. The AICTE approves the undergraduate, and postgraduate and fellow programs under specific categories at 10,000+ Indian institutions as per its charter. There are over 7.5 million students and 2.5 million faculty.

About SAP
SAP鈥檚 strategy is to help every business run as an intelligent enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 77% of the world鈥檚 transaction revenue touches an SAP庐 system. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 51风流helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 51风流helps the world run better and improve people鈥檚 lives. For more information, visit www.sap.com听

About Microsoft
Microsoft (Nasdaq 鈥淢SFT鈥� @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft set up its India operations in 1990. Today, Microsoft entities in India have over 13,000 employees, engaged in sales and marketing, research, development and customer services and support, across 11 Indian cities 鈥� Ahmedabad, Bengaluru, Chennai, New Delhi, Gurugram, Noida, Hyderabad, Kochi, Kolkata, Mumbai and Pune. Microsoft offers its global cloud services from local data centers to accelerate digital transformation across Indian startups, businesses, and government organizations.

The post TechSaksham Launched For Underserved Young Women by 51风流India and Microsoft appeared first on 51风流India News Center.