The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance.
Riding on the machine learning (ML) wave, customers can
Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of modern day data management. The labyrinth of convoluted data management systems often evolves as a natural response to data
There are some people, like me, who like to know how the story ends and thus may occasionally read the last chapter before going back and reading the rest of the book. So, I guess this is a spoiler alert. The answer to the question is, “Netezza is still alive, well and evolving and IBM has now come
Accurate product details and descriptions shape buyer and user behavior. These details – product size, weights, descriptions, reviews, certifications, etc – make the products findable to address shopper needs and allow for comparison. The need extends across industries, including both traditional
Merging creativity, data and technology
Using data to shape new messaging or find new prospects is core to our business, but we wanted to do more, and do it better. In markets continually roiled by disruption and innovation, we needed to help our clients move beyond transactional relationships
Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay. Even
As organizations become more data-driven, they need to manage large volumes of data in a simplified and cost-effective way in order to remain competitive and nimble. Data stored in various data repositories, whether it be generated by client-facing applications or different internal and external
Navigating through disruptions comes with the territory when your job is managing and planning the operations of everything from supply chains and finance, to sales and marketing. But for the small and medium-sized business (SMB), the ability to plan and forecast future performance
As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.
Let’s not underestimate the sheer scale of the problem
With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the
Today, it’s slightly inaccurate to say that “open source is the future.” Open source is here, and it has already won. Open source has been adopted by nearly every business discipline, allowing developers to solve their problems effectively with more flexibility and freedom. In enterprise business,
In Ohio, the tectonic shift occurred at 11:59 p.m. March 23, 2020 when the Department of Health Director implemented stay at home orders. In subsequent days and weeks, unknowns prevailed – despite an inundation of COVID-19 information, and often conflicting perspectives from government, healthcare
As the world confronts new challenges, business priorities and job roles are rapidly shifting. Rethinking your entire strategy and the way you work means data and AI will play a more central role in how organizations move forward.
Take in the recent expert sessions that bring together technology
AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual
Simplicity is the ultimate sophistication. While there is debate about who originally coined this phrase, one thing that remains undisputed is that Netezza set the standards on what simplicity of use means in the world of enterprise data warehousing and analytics.
This is highly valuable as