For years, one of the biggest barriers to effectively implementing artificial intelligence (AI) into clinical trial data management has been a lack of trust in its capabilities. Although this concern ...

In this podcast, we talk to Pure Storage EMEA field chief technology officer Patrick Smith about the issues of data management in an era where the upsurge of artificial intelligence (AI) has created ...

Like many of you, I regularly incorporate AI tools to keep up with marketing and martech trends. They provide me with summaries and extract insights that I either agree or disagree with. While ...

When TCB Data Systems was created in the late 1980s, market data inventory reports were sent to the data publishers via the US Postal Service. Thomas Butts and his co-founders had a vision of ...

Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

Abstract: This paper addresses the critical challenges of data management and security within cloud environments by exploring the use of Time-Variant Secure Data Fragmentation and Reassembly ...

Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...

To integrate operations as smoothly as possible following mergers and acquisitions (M&A) is always a challenge. Businesses want to keep revenues flowing and to cause as little disruption to customers ...

The introduction of AI across an expansive ecosystem of endpoints poses unique challenges for IT buyers and directors.

In today’s research world, data is produced faster than ever. Old methods like paper records or simple spreadsheets can’t keep up with the volume and complexity of this data. Lab Data Management ...