With THINK 2019 just around the corner, 12 through 15 February, there’s no better time to discover the variety of hybrid data management solutions and strategies, along with how each can help uncover actionable insights.
Data science was one of the hot topics of 2018, and it’s likely to dominate again in 2019. We've asked five key data science influencers to take a look back at 2018 and look ahead at what's to come in 2019.
IBM is launching a live, virtual conference around AI. Community Day: Artificial Intelligence on October 11 from 10 AM to 4 PM Eastern Daylight Time (EDT). It’s a one-day exploration of applied AI, the tools that can help you harness it, and coding tutorials.
Many people agree that artificial intelligence (AI) is the key to the future of business. However, unlocking the full potential of AI has proven elusive for many companies, especially at the enterprise level.
In the coming weeks, you have three great opportunities — two in the U.S., one in Europe — to network with your industry peers as you meet and learn from IBMers who are reinventing analytics for organizations large and small.
Will artificial intelligence remake business as we know it? Will AI change the way we do our jobs – or reshape entire categories of careers? How can businesses harness the transformative potential of AI and outplay the competition? Leaders from a broad range of industries and expertise will be
Machine learning has joined artificial intelligence (AI) as the hottest technology topics of 2018. We asked our expert influencers to share their thoughts on the state of the industry: where it's going, and how and why companies should be adopting machine learning and AI.
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality.
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?