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
This week, Al Martin welcomes Jillian Lellis, senior data analyst at HOLT CAT, to the Making Data Simple podcast. Jill explores the significance of data visualization and the impact of visualizations on decision-making. Learn why visualization tools are increasing in importance as the volume of
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while
In developing and improving Db2 on Cloud, we have been laser focused on providing the simplest, most convenient experience possible for users, and it’s heartening to see that those efforts are paying off.
Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.
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.