How the team of IBM Data Analytics and AI Elite trains companies to cope more effectively with data science

 How the team of IBM Data Analytics and AI Elite trains companies to cope more effectively with data science

Today, from last year, last month and even yesterday, the world looks different. In the light of these challenges, the ever-changing state of our world brings new issues and possessing the right abilities becomes crucial for evolving and innovating.

"According to The Quant Crunch report, however, "data science talents are one of the most difficult to recruit for and if not filled, they will theoretically cause the biggest chaos.
This is where we get in. Our team thrives on solving head-on challenges with data science. The IBM Data Science and AI Elite (DSE) partners with companies in all fields, having the best resources to help teams solve data science usage cases and resolve AI adoption challenges.

Rob Thomas, IBM Senior Vice President of Cloud and Data Platform, imagined a team of world-class data scientists at the beginning of 2018 to collaborate with customers and companies to bring data science to use, and that was precisely what the DSE did. Over the past three years and counting, IBM Data Science and AI Elite, with the leadership of approximately 100 data scientists, have completed engagements in 50 countries spanning 6 business sectors. The effect our commitments continue to drive for people globally is resounding, from lowering the total carbon footprint or trash on beaches, to eliminating missing packages or ensuring that your package is properly shipped. We also helped companies increase accuracy by 20 percent in locating missing shipments, process logistics data 423 times quicker, minimize operational costs for telecoms by 15 percent, proactively eliminate bias in the recruiting process of a corporation, and more. Our latest collaboration with Highmark Wellbeing, the Emergent Alliance's Rolls-Royce, and the United Nations Environment Programme (UNEP) are only a couple of the many commitments that make strong use of AI to bring progress.

From a period of 12 months to a few days

Sepsis is not only life-threatening, with 720,000 cases annually in the U.S. and a staggering death rate of between 25 and 50 percent; it doubles as one of the most costly inpatient conditions in the world, costing more than $27 billion annually.

Organizations such as Highmark, collaborating with the DSE, have taken enormous strides forward using inpatient clinical evidence to develop models to forecast and avoid mortality from sepsis. 

Curren Katz, Director of Data Science, R&D at Highmark Health, shares in a recent project debate, this work usually takes up to 12+ months for Highmark to finish. But the IBM Cloud Pak for Data platform took care of the heavy lifting behind the scenes and allowed the DSE team to return within just a few days with a deployed model."

By making clarification in Highmark's models, Cloud Pak for Data shone as a popular language portal, and also made way for Highmark to rapidly respond to the increasing COVID crisis. As COVID-19 evolves, changes and prompts new data, the newly released portal gives Katz the ability to vacuum up new research findings and contributors.
Moving the economic growth needle

In a similar way, Rolls Royce combined IBM and scores of multinational businesses to create the Emergent Coalition, a non-profit group of technology firms and data science experts that hold the conviction that data and AI would help drive the economic recovery from COVID-19. Recent attempts to work with IBM have centered on addressing the recent declaration of the Emergent Partnership challenge: how a trusted and explainable risk-pulse index could help companies grow stronger after the pandemic.

In order to evaluate a vast variety of global, behavioral and opinion data, IBM and Rolls-Royce R2Data Labs have innovated to create economic resilience, find the pulse of an unprecedented recession and help companies recover stronger from a pandemic.

Digging up data to remove litter on the beach

As global citizens, our decisions, especially in the field of marine litter and beach cleanup activities, contribute to environmental effects. The aim of the United Nations Development Programme (UNDP) was to substantially minimize maritime emissions by 2025, pushing for the establishment of an index for calculating coastal eutrophication and floating plastic density. The DSE has joined forces with the United Nations Environment Programme (UNEP) and the Wilson Center to resolve the globe-wide lack of a consolidated national archive of aquatic litter and data access.

These partners have thrown their heads together to pilot a global platform for aquatic waste, with little mechanism in place to deliver evidence on the volume of plastic polluting beaches today. The IBM Watson Information Catalog on IBM Cloud Pak for Data allowed UNEP and IBM to easily clean, crosswalk, categorize, conform and make the correct data accessible to data scientists automatically.WKC also encourages citizen scientists to track data sources, cooperate with other scientists, submit datasets, and use ranking and labeling systems to share their observations into the dataset, allowing a major jump in removing plastic on beaches for good. Likewise, we worked with the world's first interactive environmental campaigner, Sam, thanks to IBM Watson Assistant, built to unify scholars, populations and politicians to get all stakeholders on board.

Helping businesses to step up time to value

These are only a handful of the many companies that have joined forces with our team to wave data science into great waves. Furthermore, we also see trends emerging between use cases, which drive the team's chance to create business accelerators focused on actual consumer experiences. Industry accelerators will dramatically minimize the time to value on the next data science project by packing up use-case-specific, relevant assets for model rollout.

In addition, our team has developed a Remote Data Science Toolkit as a contribution to our society to help data scientists worldwide do their best work from home in the light of recent circumstances triggered by the global pandemic.

With the support of IBM Data Scientists and AI Elite, it is fascinating to look back on the achievements of our clients and organizations around the world. Yet, there is still more work to be done as the demand begins to change. Looking forward the digital revolution will pave the way for the next phase of AI for organizations. I look forward to seeing how the DSE continues to help customers change the world around us, adapt to market trends and put data science to work.