The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations. The collaboration seeks to develop joint solutions that facilitate the implementation of robust, reliable, and enterprise-ready AI solutions.

The Wipro Enterprise AI-Ready Platform harnesses various components of the IBM watsonx suite, including watsonx.ai, watsonx.data, and watsonx.governance, alongside AI assistants. It offers clients a comprehensive suite of tools, large language models (LLMs), streamlined processes, and robust governance mechanisms, laying a solid foundation for the development of future industry-specific analytic solutions.

Jo Debecker, Managing Partner & Global Head of Wipro FullStride Cloud, said: “This expanded partnership with IBM combines our deep contextual cloud, AI, and industry expertise with IBM’s leading AI innovation capabilities.”

A key aspect of this collaboration is the establishment of the IBM TechHub@Wipro, a centralised tech hub aimed at supporting joint client pursuits. This initiative will bring together subject matter experts, engineers, assets, and processes to drive and support AI initiatives.

Kate Woolley, General Manager of IBM Ecosystem, commented: “We’re pleased to reach this new milestone in our 20-year partnership to support clients through the combination of Wipro’s and IBM’s joint expertise and technology, including watsonx.”

The Wipro Enterprise AI-Ready Platform offers infrastructure and core software for AI and generative AI workloads, enhancing automation, dynamic resource management, and operational efficiency in the enterprise. Moreover, it caters to specialised industry use cases, such as banking, retail, health, energy, and manufacturing, offering tailored solutions for customer support, marketing, feedback analysis, and more.

Nagendra Bandaru, Managing Partner and President of Wipro Enterprise Futuring, highlighted the flexibility of the platform, stating: “Wipro’s Enterprise AI-Ready Platform will allow clients to easily integrate and standardise multiple data sources augmenting AI- and GenAI-enabled transformation across business functions.”

In addition to facilitating AI governance through the AI lifecycle, the platform prioritises responsible AI practices, ensuring transparency, data protection, and compliance with relevant laws and regulations.

As part of this collaboration, Wipro associates will undergo training in IBM hybrid cloud, AI, and data analytics technologies, further enhancing their capabilities in developing joint solutions.

(Photo by Carson Masterson on Unsplash)

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The geospatial model, built from NASA’s satellite data, will be the largest of its kind on Hugging Face and marks the first-ever open-source AI foundation model developed in collaboration with NASA.

Jeff Boudier, head of product and growth at Hugging Face, highlighted the importance of information sharing and collaboration in driving progress in AI. Open-source AI and the release of models and datasets are fundamental in ensuring AI benefits as many people as possible.

Climate science faces constant challenges due to rapidly changing environmental conditions, requiring access to the latest data. Despite the abundance of data, scientists and researchers struggle to analyse the vast datasets effectively. NASA estimates that by 2024, there will be 250,000 terabytes of data from new missions.

To address this issue, IBM embarked on a Space Act Agreement with NASA earlier this year—aiming to build an AI foundation model for geospatial data.

By making this geospatial foundation model openly available on Hugging Face, both companies aim to promote collaboration and accelerate progress in climate and Earth science.

Sriram Raghavan, VP at IBM Research AI, commented:

“The essential role of open-source technologies to accelerate critical areas of discovery such as climate change has never been clearer.

By combining IBM’s foundation model efforts aimed at creating flexible, reusable AI systems with NASA’s repository of Earth-satellite data, and making it available on the leading open-source AI platform, Hugging Face, we can leverage the power of collaboration to implement faster and more impactful solutions that will improve our planet.”

The geospatial model, jointly trained by IBM and NASA on Harmonized Landsat Sentinel-2 satellite data (HLS) over one year across the continental United States, has shown promising results. It demonstrated a 15 percent improvement over state-of-the-art techniques using only half the labelled data.

With further fine-tuning, the model can be adapted for various tasks such as deforestation tracking, crop yield prediction, and greenhouse gas detection.

IBM’s collaboration with NASA in building the AI model aligns with NASA’s decade-long Open-Source Science Initiative, promoting a more accessible and inclusive scientific community. NASA, along with other federal agencies, has designated 2023 as the Year of Open Science, celebrating the benefits of sharing data, information, and knowledge openly.

Kevin Murphy, Chief Science Data Officer at NASA, said:

“We believe that foundation models have the potential to change the way observational data is analysed and help us to better understand our planet.

By open-sourcing such models and making them available to the world, we hope to multiply their impact.”

The geospatial model leverages IBM’s foundation model technology and is part of IBM’s broader initiative to create and train AI models with transferable capabilities across different tasks.

In June, IBM introduced watsonx, an AI and data platform designed to scale and accelerate the impact of advanced AI with trusted data. A commercial version of the geospatial model, integrated into IBM watsonx, will be available through the IBM Environmental Intelligence Suite (EIS) later this year.

By leveraging the power of open-source technologies, this latest collaboration aims to address climate challenges effectively and contribute to a more sustainable future for our planet.

(Photo by Markus Spiske on Unsplash)

See also: Jay Migliaccio, IBM Watson: On leveraging AI to improve productivity

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The features include generative AI commentary and AI draw analysis, aimed at enhancing the engagement and insight for tennis enthusiasts.

Usama Al-Qassab, Marketing & Commercial Director at The All England Club, said:

“We are constantly innovating with our partners at IBM to provide Wimbledon fans, wherever they are in the world, with an insightful and engaging digital experience of The Championships.

This year, we’re introducing new features for our digital platforms that use the latest AI technology from IBM to help fans gain even more insight into the singles draw and access commentary on a wider variety of matches through our match highlights videos.”

AI commentary

The AI commentary feature, developed in collaboration with IBM iX, offers fans watching match highlights videos the option to receive audio commentary and captions of key moments.

The tool aims to provide a more insightful experience when catching up on matches through the Wimbledon App and wimbledon.com. This introduction marks a step towards making commentary available for matches outside of Wimbledon’s Show Courts, which already have live human commentary.

Experts from IBM iX and The All England Club worked together to train the AI using foundation models from IBM’s enterprise AI and data platform, watsonx.

The generative AI employed in this feature produces narration with diverse sentence structures and vocabulary, enhancing the informative and engaging nature of the clips.

AI draw analysis

Another innovative feature introduced this year is the AI draw analysis, a first of its kind in tennis.

Leveraging AI, this feature provides a statistic to determine the favorability of the path to the final for each player in the singles draw. Factors such as match-ups against potential future opponents and the player’s position in the draw compared to competitors contribute to the player’s draw favorability rating.

This unique insight enables tennis fans to uncover anomalies and potential surprises in the singles draw that may not be evident solely by considering the players’ rankings. The feature aims to inspire more debate and engagement within the fan community.

Jonathan Adashek, SVP of Marketing and Communications for IBM, commented:

“IBM is bringing new layers of insight and engagement to the 2023 Championships through the use of innovative new tools, powered by foundation models and generative AI from watsonx.

We’ve seen first-hand how these technologies have the power to help major sporting events like Wimbledon to grow their audiences through outstanding digital experiences. 

The AI and data platform that IBM is using to create unique fan experiences for Wimbledon is the same technology that we’re using to drive business transformation with clients across all sectors and industries.”

These new features complement the existing suite of AI-powered tools available on the Wimbledon App and wimbledon.com. The suite includes the IBM Power Index Leaderboard, IBM Match Insights, and Personalized Highlights Reels and Recommendations.

These digital features leverage IBM’s Watson AI technology to analyse over 100,000 data points from every shot played throughout the tournament, providing fans with a deeper understanding of the players, their opponents, and likely outcomes. The constant updates and tailored insights keep fans engaged throughout the tournament.

Wimbledon will take place from July 3 to July 16, 2023. Fans can witness these AI-powered features in action by visiting wimbledon.com or downloading the Wimbledon App from the App Store or Play Store.

(Photo by Ariv Gupta on Unsplash)

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Digital Transformation Week.

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