Rob Thomas, general manager of IBM Analytics, discusses the principles that guide the IBM Analytics business and have led to its latest major offering: IBM Cloud Private for Data, a platform for high-performance analytics that powers cloud-based applications so companies can be ready for AI.
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in
This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be
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.