McKesson, a leading healthcare company for wholesale medical supplies and equipment, pharmaceutical distribution, and healthcare technology, delivers one-third of prescription medicine in North America, supports 15,000 pharmacies and more than 9,000 oncologists and other medical specialists, and offers more than 250,000 SKUs of brand and private label medical-surgical supplies. Striving – and achieving – supply […]
Self-Service Agile Data Management
Business users need to be close to Big Data. They need to know the pros and cons of how to best utilize business data to act on opportunities and reach out to customers and prospects. In addition, businesses need to respond to these advantages immediately. As Thomas Schutz, SVP of Sales and Marketing Strategy for […]
Identify Data Patterns with Natural Language Processing and Machine Learning
Discovering, extracting, and analyzing data patterns in textual data from the myriad data sources streaming into modern data-driven organizations is no easy task. Organizations must be equipped with state-of-the art techniques such as Natural Language Processing (NLP) within well-developed Artificial Intelligence (AI) and Machine Learning (ML) platforms, to reliably understand the pulse of their consumers […]
Data Governance Best Practices: Five Industry Experts Discuss Their Viewpoints
At the Enterprise Data World 2017 Conference, a panel of Data Governance and Data Management industry experts shared their wisdom, offering tips, ideas, and best practices. The panel discussion was titled “You CAN Be Successful in Data Governance Best Practice Tips and Takeaways.” The transcript below is a selection of some of the highlights of […]
Enterprise Metadata Management Moves Forward
Enterprise Metadata Management and Data Governance vendor Data Advantage Group is continuing to advance its solution since the publication of Gartner’s Magic Quadrant for Metadata Management last summer. At the time, the company’s MetaCenter Enterprise Metadata Repository product, which provides end-to-end data lineage across multiple data sources, was cited as a leader in the Challengers’ […]
In-Depth Interview: New Metamodel Drives Predictive Data with MIT’s Hazhir Rahmandad
The aggregation of research data across multiple studies, multiple methods, and over longer time spans has been an on-going problem for researchers for decades. The ability for scientists, data analysts, academic research institutions, and others to build on work done before is necessary to move research forward. But, often such prior research uses completely different […]
In-Depth Interview: Machine Learning and a Real-Time Data Platform with Cinchapi’s Bill Sengstacken
One of the more intriguing start-ups in the world of Real-Time Data Platforms is the Atlanta-based company headed by Jeff Nelson, Cinchapi. According to the company website, the Cinchapi Data Platform can radically reduce data prep and cleanup through the use of Machine Learning and other technologies. The company also refers to their platform as […]
Building an Artificial Intelligence Playbook with MindMeld’s Tim Tuttle
Sports coaches and sales teams know the value of a good playbook. Now the anyone in the data profession who wants to get involved with Artificial Intelligence (AI) can access a playbook to help them develop useful applications for their organizations. MindMeld, which offers a platform to help companies create intelligent conversational voice and chat […]
In-Depth Interview: Overcoming the Top Barriers to DevOps Success with Quali’s Shashi Kiran
Part of what makes data such a challenging field to work in is the processes that surround it. Working with data can be relatively straightforward if done with focus and planning. Countless tools, apps, and databases are ready and waiting to help companies make the most of their data. But the practices that govern those […]
Collibra’s Data Governance Innovation: Enabling Data as a Strategic Asset
Companies now face a tug of war with data and must use Data Governance to address this conflict. On the one hand, data needs to be controlled: governments, regulatory bodies, and customers require compliance with trustworthy and secure data, partly to avoid damaging data leaks or breaches. On the other hand, data should be accessible […]