Organizations have more data than ever, but unlocking the information it contains in order to make decisions can be a challenge.

The marriage of of real-time analytics and AI with vector search is a potential game changer for any business that has large amounts of data to crunch. We spoke to Rockset CEO and co-founder Venkat Venkataramani to find out more.

Data breaches and cyberattacks are seldom far from the news, and it's an area that seldom stands still for long.

We spoke to founder and CEO of White Knight Labs, Greg Hatcher, to discuss how threat tactics are evolving and what organizations can do to protect themselves.

Data is one of the biggest drivers of innovation in healthcare today. Almost everything in healthcare relies on having access to the right data from developing new drugs and medical equipment to allocating resources.

Making use of this data often requires sharing with other organizations and that presents challenges when it comes to keeping it secure. We spoke to Riddhiman Das, co-founder and CEO at TripleBlind, to learn how healthcare organizations are securing their data while still making it accessible.

The amount of data held by enterprises is growing at an alarming rate, yet it's often still being stored on 20-year-old technology.

Add to this a proliferation of different types of systems -- or even different storage platforms for specific use cases -- and you have greater complexity at a time when it’s hard to find new IT personnel.

Cyberattacks and data breaches come it many forms, but often at the root of them is a phishing scam.

Exploiting the fact that humans are the weakest link in the security chain, cybercriminals use phishing to trick employees into giving up credentials or other sensitive information that can be used to gain a foothold to carry out a later attack.

The past few years have seen some major changes in the IT world. Accelerated by the pandemic we've seen a significant shift to the cloud and hybrid working models.

But this brings with it additional risks. We spoke to Matt Spitz, head of engineering at Vanta, to discuss the security challenges posed and how enterprises can adapt to cope with them.

Over the past decade data modeling -- setting up data structures aligned to business requirements -- has tended to take something of a back seat as businesses have rushed to bring products to market.

But we're producing more data than ever and need ways to process it effectively. That's why Satish Jayanthi, CTO and co-founder at Coalesce, believes it's time for data modeling to make a comeback in enterprise strategy. We spoke to him to find out more.

The concept of 'shifting left' is often used in the cybersecurity industry to refer to addressing security earlier in the development process.

But it's something that can be applied to data management too. Shifting left in this sense means performing data reliability checks sooner. The ability to execute data reliability tests earlier in the data pipelines helps keep bad data out of production systems.

The testing and measurement industry like any other is looking towards digital transformation projects, but it’s a sector that in the past has been slow to adapt.

Software-defined instrumentation looks set to change that and drive transformation efforts forward. We spoke to Daniel Shaddock, the co-founder and CEO of Liquid Instruments and a professor of physics at the Australian National University, to find out more.

Artificial intelligence is generally only as good as the data that it's trained on. However, when data is collected and used in the training of machine learning models, the models inherit the bias of the people building them, producing unexpected and potentially harmful outcomes.

We spoke to Matthieu Jonglez, VP, technology at Progress, to discuss the company's recent research around this topic and what organizations can do to reduce bias.

Security Operations Centers (SOCs) aim to detect, investigate, remediate, and restore organizational systems to a fully functional, secure state, whether it's defending against insider threats, data exfiltration attempts, or malware attacks.

However, examining the daily issues faced by many SOCs reveals a concerning array of challenges that place increasing pressure on the work of SOCs and the dedicated professionals who manage them.

As the pandemic forced many businesses to adopt remote work, IT departments had to quickly adapt to new infrastructures and tools to support their employees from a distance.

But as hybrid working starts to become permanent businesses are reviewing their tech investments and seeking to provide a better remote user experience.

The pandemic changed the way we work, with more people working from home and fewer in the office. That meant we became much more reliant on tools like Slack and Teams in order to keep in touch with colleagues.

Even though some people are now going back to the office, reliance on these collaboration tools remains high. The dark side of this trend is that cybercriminals have noticed and are increasingly using them as vectors for phishing attacks.

User authorization for access to data is complicated. Knowing who has access to what information is often difficult because of complex role hierarchies, different authorization models used for different technologies, and the variety of data that may be accessible across technologies and clouds.

Ben Herzberg, chief scientist at data security platform Satori, believes there's often a blindspot around authorization, but that the issue doesn't have to be as complex as it can seem. We talked to him to learn more.

Recent reports have shown that email is still the channel where enterprises are most vulnerable to attacks, in particular phishing.

But adding new browser-based layers of security protection can disrupt such killchains, for example by preventing phishing victims from accessing or engaging with spoofed sites. We spoke to Red Access co-founder and CTO Tal Dery to find out more.