Author: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: bharath-chari; Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges:Data sprawl: Your customer data is currently on multiple clouds, including on-premises and a cloud data lake storage repository. But the data often exists in different formats in Db2, Oracle and other databases—and those databases are being used by transactional systems in different departments. Data latency across clouds and systems can be a serious concern in a multicloud environment, specifically when ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: eric-hausken; ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: thomas-lamonte; IBM has recently launched its inaugural IBM Women Leaders in AI, in recognition of women advancing their companies journey to AI across diverse industries around the globe. In this blog, learn more about one of these remarkable leaders who is steering responsible AI with IBM Watson OpenScale.“Only about 5 percent of our clients are heavily adopting AI at this point, and it begs the question of why and what's holding them back? And what we found is that it's really all about trust.” — Kelly Combs, KPMG Kelly Combs, ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: sajan-kuttappa; Today, doing more with less is a key principle that drives business strategy across many resource-intensive industries. Businesses are looking to get a higher return out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify complex decisions around how scarce resources should be allocated, how to schedule tasks, and how to deal with constraints. As Alex Fleischer points out in his blog, a recent Enterprise Strategy Group (ESG) technical validation report cites the need to improve operational efficiency ... Read More

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Feed: IBM Big Data & Analytics Hub - All Content; Author: graham-turney; Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs. Here’s a typical breakdown:Business professionals need straightforward ways to first discover and then to experiment with data with algorithms and visualizations. They want a visual, drag-and-drop tool that doesn’t require them to code. Application developers integrate models to build apps and rely on a range of data services in order to drive business innovation. They require a toolset that ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: alex-fleischer; Today, machine learning (ML), artificial intelligence (AI) and decision optimization are not just buzzwords found all over the news. They are urgent requirements for many companies that fear disruption, want to perform pragmatic analysis and make better decisions with their data. Data has been called the next natural resource, like oil. But just as with oil, it must be refined to be valuable, and its end value must exceed the cost of refining it. With data, the value of AI is the cost of investing in collecting, organizing ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: julianna-delua; I recently met with Kyle Weeks, program director for ecosystems in data science and AI, to review some exciting opportunities made possible by recent developments in IBM data science:On September 24, IBM updated new capabilities and upgrade paths for SPSS Modeler and Watson Studio. SPSS Modeler Gold is now supercharged with Watson Studio. Learn more here. The Watson Studio Perpetual offering is now added to the Watson Studio Desktop subscription. In addition, we included text analytics, one of the most popular capabilities of SPSS Modeler, to Watson Studio Desktop. This helps ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: julianna-delua; AutoAI, a powerful, automated AI development capability in IBM Watson Studio, won the Best Innovation in Intelligent Automation Award yesterday at the AIconics AI Summit in San Francisco. Chosen by a panel of 13 independent judges, the AIconics awards recognize breakthroughs in AI for business.IBMers Hafsah Lakhany and Gerard Dubois accept the Best Innovation in Intelligent Automation Award on behalf of the AutoAI team at the AIconics AI Summit in San Francisco. To share what went behind the development of AutoAI and how it accelerates time to value ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: eric-hausken; ... Read More