Analytics

Watson Anywhere: The Future

(Part 3 in a Series) There’s a paradox in the world of AI: While it’s the largest economic opportunity of our lifetime (estimated to contribute $16 trillion to GDP by 2030), enterprise adoption of AI was less than 4% in 2018. A recent Gartner survey said that the 4% in 2018 has now grown to […]

Continue reading

IBM Watson: Reflections and Projections

(Part 1 in a Series) AI has gone through many cycles since we first coined the term “machine learning” in 1959. Our latest resurgence began in 2011 when we put Watson on national television to play Jeopardy! against humans. This became a cornerstone event, demonstrating that we had something unique. And we saw early success, putting […]

Continue reading


Categories


Building Data Science Strength from Within

Filling gaps in portfolios, improving upon products and making them not just whole, but advanced, is part of most organizations’ business regimen. It’s the kind of work, the kind of commitment to constant reflection and improvement that separates the successful from the not-so-successful. This philosophy transcends to people, as well. If a gap exists in […]

Continue reading

IBM’s First Certified Data Scientists: “It’s Amazing”

When IBM Chief Economist and Data Science Profession Leader Martin Fleming announced an effort to create a first-of-its-kind Data Scientist certification, Brian Johnston thought it was “a really cool idea.” But Johnston, Lead Data Scientist in the IBM Chief Analytics Office, wasn’t sure about finding the time to undergo the assessments and skills validations required […]

Continue reading

How Data and Analytics Can Power a Transformation in Long-Term Disability

Employer-provided disability insurance has a problem — it’s reactive, risk-based payout, and in its current state, it cannot affect the metrics employers and employees truly care about: employee engagement, productivity and wellness. Modern disability insurance first became available in the late 19th century and was called “accident insurance.” It was meant to protect workers in […]

Continue reading

Saying ‘Yes’ to Business Process Automation

Despite popular belief, technological progress has always been supported and enhanced by the collaboration between humans and machines working together. Digitalization is not only about transferring data into an electronic form, but also about using these forms and finding new ways of developing them. Innovation in technology helps us to come up with new ideas, […]

Continue reading

Bringing AI and Blockchain to Bear on Environmental Challenges

IBM began focusing on environmental sustainability before the first Earth Day was ever celebrated. Addressing environmental challenges requires sustained action because even as we make progress, new challenges emerge. The digital transformation of our business and our clients’ businesses is improving the degree to which we can both examine and address global environmental challenges. Today, […]

Continue reading

Expecting the Unexpected at the 2019 Masters

The most compelling thing about sports is the uncertainty. Who will step up? Who will choke? How will it end? And by this criteria the 2019 Masters will go down in history as one of the most compelling sports events of all time. This year’s tournament had all the things you have come to expect […]

Continue reading

AI is Not Magic: It’s Time to Demystify and Apply

For centuries, electricity was thought to be the domain of sorcerers – magicians who left audiences puzzled about where it came from and how it was generated. And although Benjamin Franklin and his contemporaries were well aware of the phenomena when he proved the connection between electricity and lightning, he had difficulty envisioning a practical […]

Continue reading

The Manufacturing Side of Digital Transformation: Smart Factories

The fourth Industrial Revolution, often called Industry 4.0, is now underway. This is the manufacturing side of digital transformation — the tantalizing potential of “smart factories” that deliver intelligence on demand. The evolution of data-driven autonomous systems and machine learning tools underpins the promise of Industry 4.0 as organizations look to connect IoT devices, collect […]

Continue reading

How IBM is Applying AI to Improve Operational Asset Performance

Data from physical assets has become pervasive in the modern world. With inexpensive sensors, low-cost communications, and the prevalence of cloud computing, data is streaming off of physical assets and devices, and updating us about everything from our teeth brushing habits to how our elevators are running. The revolution goes far beyond consumer technologies. Every […]

Continue reading

Watson Anywhere

A recent PwC study indicated that AI has the potential to add close to $16 trillion to the global economy by 2030, yet the technology has had an adoption rate of only 4%, according to other research reports. There seems to be no debate on the strategic value of AI to a business, so how […]

Continue reading