The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to
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
As communities and businesses worldwide look to understand the economic impact of COVID-19 and prepare for an eventual recovery, the biggest test of decision-making will be the data that will inform the business decisions. Was it trusted? Was it timely? Was it enough?
To date, there are many
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 growth, diversity
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 amid the COVID-19
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
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 the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities.
It’s no wonder
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