Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
As a working data scientist, you must deliver on your projects while at the same time staying up to speed on changes in your chosen field. That’s a tough balance, considering how stretched you already on the job and how quickly the world of data science is evolving. That’s where IBM World of Watson
What is the key to staying ahead of the competition? Quite simply, data science. See why innovative companies have embraced the power behind data and analytics to move themselves way out in front of competitors.
Before the San Jose, California version of Strata + Hadoop World fades from memory, check out these five key experiences that highlighted this conference for data scientists, data engineers, developers and other IT professionals.
Organizations that have built a data-driven culture are seeing gains in efficiency and capability that are allowing them to become leaders in their industries. Learn how you can begin integrating data science into your organization, enabling new ways of activating data as part of an enterprise-wide
As organizations incorporate data scientists’ insights into their corporate strategies, they must harness these findings within a sustainable and practical approach to governance—and make sure data scientists are working within this system of governance.
The data science revolution is bringing a shift in the direction of the cloud—and with it a sea change in the roles of IT professionals. Discover how focusing on data science can help you keep your career afloat in a changing business environment.
Everybody talks about the weather—and now businesses can turn that talk into insight. A recent hackathon highlighted ways data scientists can create smart data applications for meteorological forecasting and address the weather data analytics needs of a range of organizations.
Demand for data scientists is growing. Strong analytical skills and the ability to tap into the expertise of the larger analytical community helps new and seasoned data scientists keep up with new trends and continue to hone their skill sets.
Data science by itself is an ineffectual civic-governance tool if it lacks strong champions who can wield it to get things done in the legislative, executive and judicial branches. Big data analytics can influence public policy if it helps frame a compelling case in the minds of decision makers for
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian
Data scientists, like anybody else, tend to gravitate to where the jobs are, especially those that fetch higher salaries, offer the resources needed to achieve their dreams and promise more rewarding career paths. For that reason, larger employers with well-established, amply funded big data
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional