The role of private clouds in enterprise data strategy [Q&A]
As AI reshapes business operations, companies are facing new challenges around cost uncertainty, security, and data integrity. The rise of hybrid cloud strategies -- combining private clouds with public infrastructure -- is becoming a key approach to addressing these concerns.
While enterprises focus on cost control, safeguarding sensitive corporate data, and preventing AI-driven data leakage, they are also trying to leverage LLMs to exploit data in the public cloud while retaining sensitive data in private clouds that they control.
The human-centric approach to moving to the cloud [Q&A]
Over the past decade, cloud computing has emerged as a transformative force, promising unprecedented efficiency and scalability.
However, despite the rush for businesses to adopt this technology, many cloud projects still fail to meet their stated objectives
The rising tide of ransomware and what it means for small and medium-sized businesses [Q&A]
Small and medium-sized businesses (SMBs) are facing an escalating onslaught of cyberattacks as they evolve in both sophistication and speed. Among the most insidious threats are ransomware variants like QakBot and Black Basta, which operate in the shadows, often slipping past the radar of law enforcement and the media.
The consequences of these attacks can be devastating, leaving SMBs exposed and unprepared, with the potential to disrupt operations, damage reputations, and incur significant financial losses.
Why strong data foundations are essential to implementing AI [Q&A]
Lots of organizations are rushing to embrace AI and hoping to deliver business value. But AI is only as good as the data that underpins it.
We spoke to Julian LaNeve, chief technology officer of Astronomer, to discuss why it's important to fix the foundations before implementing AI solutions.
Key developments and challenges in LLMs [Q&A]
Large language models (LLMs) have undergone rapid evolution in recent years, but can often be viewed as something of a 'black-box' as a lack of transparency makes it difficult to identify how decisions are made, trace errors, or understand biases within the model.
We spoke to Pramod Beligere, vice president -- generative AI practice head at Hexaware, to discuss this along with the tools that are being developed, such as explainable AI and interpretable models, to make AI systems more understandable, trustworthy and accountable.
Supply chain 'butterfly effects' what are they and how do you navigate them? [Q&A]
The world is a pretty unstable place at the moment, which can lead to problems when it comes to making decisions on whether to invest in new technologies -- particularly in the context of a rapidly changing landscape for supply chains.
We spoke to Jonathan Barrett, CEO of Kallikor, to discuss how a new generation of AI-powered digital twin technology can help businesses to anticipate changes brought about by events outside their control, and adopt efficiency-driving technologies, such as robotics and automation, with confidence.
SIEM and its role in the enterprise SOC [Q&A]
SIEM (security information and event management) is currently one of the cybersecurity field’s most active markets. It holds the promise of making sense of the disparate data sources across enterprise environments to detect and respond to malicious activity.
Over the past year, we’ve witnessed a wave of innovation, mergers and acquisitions and consolidation in this area, largely driven by AI advancements and the push toward the AI-native security operations center (SOC). But there's also a 'data paradox' involved in balancing cost with importing and storing as much data as possible.
Why GraphQL is a serious alternative to the REST API [Q&A]
GraphQL -- in case you haven't heard of it -- is a rapidly rising query and manipulation language for APIs. It's designed to make APIs fast, flexible and developer-friendly, and it moves the complexity of data fetching from the client to the server side.
We spoke to Pete Crocker, director of solutions engineering at OpsMill, to learn why it's increasingly being employed as an alternative to the more established REST API.
The role of encryption in the cybersecurity landscape [Q&A]
Despite being an effective tool for safeguarding sensitive information, encryption remains underutilized by many organizations, leaving them vulnerable to cyber threats.
Many companies still rely on perimeter security measures, viewing encryption as optional rather than essential. Misconceptions about the complexity and cost of encryption further hinder its adoption, leading to a reactive approach that often waits for a data breach before taking action.
Delivering return on investment from GenAI [Q&A]
For many people AI has been seen as an answer to all their problems. But a recent Gartner report suggests we could be entering a 'trough of disillusionment' as the biggest challenge when adopting GenAI is estimating and proving the business value.
Getting that value needs creative thinking and integration of GenAI with other technologies that can benefit from its ability to analyze, summarize and create content.
The importance of modernizing cyber defenses [Q&A]
The state of high-profile cyber incidents in recent years has highlighted the fact that defenses need to be kept up to date to provide adequate protection.
AI and machine learning have the potential to transform security operations to enhance protection against emerging threats. We spoke to Gurucul CEO Saryu Nayyar to get her view on how protection technologies are evolving and why this is so crucial.
How AI assistants can make sales teams more effective [Q&A]
Most business areas are starting to feel the impact of artificial intelligence, enabling data to be used more effectively to deliver intelligence and outcomes.
Sales, though, has always been about people and building relationships over time, so can AI offer value here too? Nikhil Cheerla, co-founder of sales AI assistant company Nooks, thinks it can, and we talked to him to find out how.
AI agents and what they mean for the enterprise [Q&A]
Artificial intelligence is creeping into more and more areas of business and consequently we’re seeing it used for ever more complex work.
We spoke to Trey Doig, CTO and co-founder at Echo AI, to find out more about AI agents and how they can help solve problems and carry out tasks.
Understanding and taking control of your data ecosystem [Q&A]
Data comes in many forms, it may be structured, it may be unstructured, it could be sensitive or purely statistical. Whatever it looks like you can only benefit from it if you know what you have, where it can be found and how to access it.
We spoke to Brett Hurt, CEO and co-founder of data.world to discuss how enterprises can understand their data and derive the maximum value from it.
The top barriers to AI success and how to overcome them [Q&A]
With the intense interest in AI and its rapid pace of embrace, organizations are under pressure to swiftly evaluate their data architecture. AI architects urgently need solutions that harness AI to boost revenue streams and streamline operational efficiencies, all while navigating the potential barriers to their success.
David Flynn, co-founder and CEO of Hammerspace, a specialist in the use and preservation of unstructured data, recently shed light on the growing complexity IT teams face in managing data pipelines. This complexity is further compounded as organizations integrate LLMs into AI applications, underscoring the significant obstacles to successful AI adoption.
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