At TOTAL, we understand that running an oil well profitably and efficiently is mechanically and technically complex. That’s why we are always looking for new ways to innovate and become more efficient.
To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.
On this week's episode of Making Data Simple, we talk about the future of AI, machine learning, and Watson with Steven Astorino, VP of development, hybrid cloud, z Analytics and IBM Canada lab director.
The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business.
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple
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.
The IBM Integrated Analytics System (IIAS), is a unique, cloud-ready appliance and machine learning platform wields the power of an in-memory, massively parallel processing database engine with embedded Spark. It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage
On this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair
Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes