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Tag: Analytics
In today’s business world, the impact of big data technology is growing rapidly, as it helps companies of all sizes increase efficiency, facilitate data-based decision-making, and contribute to sustainable growth. As a result, more and more businesses are leveraging big data trends to discover novel business prospects and refine their operating models to remain competitive. … Continue reading 7 Big Data Trends You Must Follow in 2023
Ever since web3 arrived, enterprises have woken up to the fact that the future of their products lies in the ability to deliver on-demand. Likewise, the underlying data & analytics architectures should be able to process data from the capturing to the delivering, with finesse. As we know, data management platforms are a significant differentiator … Continue reading Explaining data products lifecycle and their scope in management
I recently hosted a private event put on by Amazon Web Services for CDOs and CAOs. I interviewed Jeff Carter, a former Teradata executive and colleague who has been at Amazon for several years now in various senior leadership roles, first at Amazon.com and now at Amazon Web Services. It was a lively discussion and … Continue reading A Lesson In Effective Innovation From Amazon
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 30,000 AI engagements. From that framework and methodology came IBM … Continue reading Making IBM Cloud Pak for Data more accessible—as a service
Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBM Cloud Paks. With V3.0, we take … Continue reading Cloud Pak for Data V3.0 ushers in new leap in AI platform
IBM Watson Knowledge Catalog (WKC) provides a modern machine learning (ML) catalog for data discovery, data cataloging, data quality, and data governance. Within this framework lies a central Knowledge Catalog that serves as a single source of truth for data engineers, data stewards, data scientists, and business analysts to gain self-service access to enterprise data … Continue reading Data governance: The importance of a modern machine learning knowledge catalog
Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple as not making a customer … Continue reading Data quality: The key to building a modern and cost-effective data warehouse
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