Advertisements
Advertisements
Categories
Archives
Twitter Feed
- RT @Bluecore: 121 #AI predictions for 2019 via @GilPress @Forbes bit.ly/2zQprNg https://t.co/5kIHOb6dXk gPressed 9 hours ago
- RT @Affectiva: .@GilPress thanks so much for the @forbes feature on 2019 AI predictions! Great read, have a few thoughts on how the ability… gPressed 9 hours ago
- RT @Oracle: “2019 is right around the corner and Oracle’s @GretchenA predicts it’ll be a pivotal year for #AI at work, with digital assista… gPressed 9 hours ago
- RT @celinamarie28: What does #AI have in store for 2019? Oracle's @GretchenA predicts a pivotal year for the #futureofwork, with digital as… gPressed 9 hours ago
- RT @adamsconsulting: 120 #AI Predictions For 2019 bit.ly/2QnweZe (by @GilPress) What a massive list! #MachineLearning #Robotics #B… gPressed 9 hours ago
Advertisements
Pingback: Welcome back to Vic’s midweek reading blog – leadership, strategy, startups, BI and links to infographics « OptimalHq
Not so long ago, it would have seemed impossible to capture, store or analyze the volume of Big Data we take for granted today. With distributed database technologies and lot of hard work, it is now possible to crunch and analyze a sea of data and to derive patterns, find exceptions and patterns and use that information to make business decisions. The next challenge is to empower business users and applications to harness the benefits of Big Data and give the enterprise and every user, customer, partner, supplier and stakeholder, the tools they need to develop personalized business intelligence reporting and alerts and to view data in a way that makes their job and their lives easier and allows them to contribute to the bottom line of the corporation.
LikeLike