Author: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; The COVID-19 global pandemic has heightened the focus on collecting, analyzing, and leveraging big data to drive positive and lifesaving outcomes. Yet the volume, velocity, and variety of data generated by COVID-19 is too vast and complex to be analyzed by traditional means. A governed data lake, built to aggregate a variety of traditional structured data with semi-structured and unstructured data, can help.Data scientists using a governed data lake can support real-time forecasts to arm government decision makers and healthcare professionals with data needed to help predict and ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: mukta-singh; Upgraded agility for the modern enterprise with IBM Cloud Pak for Data Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this? First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work for various personas of the organization. It’s beyond just tool collaboration and consolidation, but it is also the collaboration of teams, streamlining of processes and interoperability of capabilities that improve ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: dan-cheuvront; Follow @IBMDataThis story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Stephanie Wagenaar is a senior manager at BOLD, based in Baarn, the Netherlands. BOLD is a consultancy firm that supports businesses by combining strategies with their hands-on “analyze, advise, execute” approach, and offering “turnarounds, transformations, and transactions.” Stephanie focuses on the transformation aspect of this equation in their newest offering launching in autumn 2020: BOLD.digital. With this new venture, Stephanie continues to help businesses develop and implement more ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: thomas-lamonte; Follow @IBMDataRegulations are the music to which businesses perform a delicate dance. If you took to the stage, a move or two out of sync would not cause the floor to drop out from underneath your steps. But for businesses moving to the rhythm of regulations, most particularly for banks and other financial institutions, the consequences of breaking tempo with compliance can be catastrophic. Who can stand the pressure? In this moment of global upheaval, the financial services sector has never been under more regulatory pressure. COVID-19 rages ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: sara-amuso; Blog Follow @IBMData At IBM, we understand both the exponential benefits AI can offer your organization as well as the unique challenges implementation can present. In 2018, we formalized the AI Ladder to provide a prescriptive approach to successful AI, and to impart lessons we've learned through over ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: paul-ambraz; In the current business climate, digital transformation is imperative. Across every industry, organizations are building and scaling AI to create new ways of doing business. But businesses face some common challenges in their journey to AI, including talent scarcity, data complexity, and a lack of trust in AI systems.To help you meet these challenges head on, IBM presents a three-part online event series: the Data and AI Virtual Forums. The next event happens Wednesday, July 29 at 9:00am ET, and focuses on building trust in your data and ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: carol-samuel; Follow @IBMDataMost organizations know that AI is becoming a requirement for their data and analytics. But with this realization also comes the challenges of trusting AI outcomes. It’s true that AI can help users get faster and more accurate answers and insights. It supports better plans, budgets and forecasts. And unaided by machine-learning and AI solutions, enterprises can’t hope to effectively understand and gain value from all the data they have. But there are many obstacles to adopting AI, and trust is not the least of them. To ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: maia-sisk; Follow @IBMDataAt IBM, we understand both the exponential benefits AI can offer your organization as well as the unique challenges implementation can present. In 2018, we formalized the AI Ladder to provide a prescriptive approach to successful AI, and to impart lessons we've learned through over 30,000 AI engagements. From that framework and methodology came IBM Cloud Pak for Data, our unified data and AI platform. IBM Cloud Pak for Data provides the flexible foundation and information architecture required for advanced analytics and AI on the cloud of ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: julianna-delua; IBM Watson Studio enables organizations to develop models and simplify and scale AI across any cloud while simultaneously automating the AI lifecycle. What do end users say about it? Here are a few quotes from among 94 reviews of Watson Studio on Gartner Peer Insights, a free peer review and ratings platform.* "More staff can contribute with the robust set of applications available with Watson Studio."  - Services organization "A one-stop-shop for our data science. It precludes the requirement to cobble together all of the components (R, Python, ... Read More

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