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
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment. That means an overwhelming majority of businesses use a multicloud approach to enable greater flexibility and application modernization.
Some companies have found that while some clouds are a
On the latest episode of Data Decoded, we make our predictions for 2019: top data trends, challenges and what chief data officers (CDOs) will need to do to keep up with the ever-changing data landscape. Hear from Michele Goetz, principal analyst at Forrester Research and Jay Limburn, IBM
In part two of our podcast episode on Blockchain, Soma Shekar (Software Architect, IBM Analytics) discusses the enterprise application of blockchain in Master Data Management - going beyond blockchain application in cryptocurrency.
Blockchain — it’s one of the hottest topics in the tech industry, but what exactly is it? Yves Mulkers (Founder of 7wData) and Erik O’Neill (IBM Entity Analytics, Sr. Offering Manager) discuss the history of blockchain and what is means for businesses wanting to get ahead in the world of data.
There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is
From machine learning to blockchain to artificial intelligence, data is dominating the conversation in the tech industry. In the first episode of Data Decoded, William McKnight, CEO of McKnight Consulting, and Yves Mulkers, founder of 7wData and a data/business intelligence architect, discuss the
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. Learn how to deliver real-time feeds of transactional data from mainframes and distributed environments directly into Hadoop clusters and make constantly changing data more available.
Managing enterprise information has always been a good idea, however with the potential for looming penalties from the General Data Protection Regulation (GDPR) non-compliance, companies are waking up and some organizations are even seeing GDPR as an opportunity to establish strengthened
Although there are many new and emerging classes of data integration, quality and governance software tools available in the market, many large organizations are coming to the conclusion that they're best served by a single unified enterprise data integration, quality and governance platform that
The Academy Awards provided a great example of the challenges of data integration. The business output of the data integration processes in the award ceremony is the announcement of a winner in a specific category.
Quite often, we see that the need for data security and governance makes some organizations hesitant about migrating to the cloud. This is perfectly understandable given the types of data gathered and used by businesses today, the regulations they must adhere to on both a local and global level,