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New solution for safe enterprise AI deployment
GenAI is set to drive significant productivity gains, leading to massive economic growth, but enterprises face the challenge of deploying GenAI systems at scale and safely connecting to data systems while ensuring proper controls and governance.
To address this Securiti is releasing Gencore AI, a first of its kind holistic solution to easily and quickly build safe, enterprise-grade GenAI systems, copilots and AI agents.
Data governance needs to be made ready for AI
Improving data quality (42 percent), security (40 percent), and analytics (40 percent) remain top data governance drivers, but in 2024 ensuring data readiness and quality for AI (34 percent) has made the list as the fourth most cited driver of data governance programs.
A report from Quest Software and ESG (Enterprise Strategy Group) also shows organizations report evolving data and governance to an AI-ready state (33 percent) as a top three bottleneck impacting the data value chain, behind understanding the quality of source data (38 percent) and tied with finding, identifying and harvesting data assets (33 percent).
Why safe use of GenAI requires a new approach to unstructured data management [Q&A]
Large language models generally train on unstructured data such as text and media. But most enterprise data security strategies are designed around structured data (data organized in traditional databases or formal schemas).
The use of unstructured data in GenAI introduces new challenges for governance, privacy and security that these traditional approaches aren't equipped to handle.
Real-time hybrid data access is key to AI success
A new report from data lakehouse company Starburst highlights the critical role of real-time hybrid data access and robust security in successful AI implementations.
Based on a survey of 300 IT professionals from diverse industries in the United States and Western Europe, carried out by TheCUBE Research, the report shows 90 percent of respondents believe their data management practices are either somewhat or very aligned with their AI innovation goals, highlighting the critical role of coherent data strategies.
Combating information overload with different data sources [Q&A]
The majority of teams today are contending with too much data which means they struggle to generate meaningful insights from their information, and can become overwhelmed by the sheer volume.
We spoke to CallMiner CMO Eric Williamson who believes sourcing customer feedback from different sources might help solve the problem.
Enterprises building AI infrastructure on a budget
A new study finds that 70 percent of enterprises are still experimenting with AI and preparing for it is a top priority.
However, the report from Komprise finds that budgets are an even higher priority with only 30 percent saying they will increase their IT budgets to support AI projects.
The essential role of an open data stack in building an open lakehouse [Q&A]
There is a movement underway to bring about a set of intelligent data apps that will require a new type of modern data platform to support them. TheCube Research identifies this as the 'Sixth Data Platform' -- an open, multi-vendor, modular platform.
We spoke to Justin Borgman, co-founder and CEO of Starburst, who believes an Icehouse architecture is the ideal foundation for building an open data lakehouse, underpinned by flexibility and open technologies.
Enterprise AI adoption soars almost 90 percent
For some time now AI has been the go-to technology to enable informed decision making, accelerate innovation, and enhance experiences for both employees and customers.
A new report from Cloudera shows that 88 percent of enterprises are adopting AI in some capacity, but many are still lacking the necessary data infrastructure and employee skills to truly benefit from it.
UK companies plan to increase AI spending
According to a new report, UK companies are prioritizing AI, with larger expected budget increases than in the US and Germany, and 90 percent considering AI a critical topic.
The report, from analytics database company Exasol, finds UK organizations expect to prioritize AI implementation through larger data and analytics budget increases over the next two to three years in the retail (+48 percent) and healthcare sectors (+100 percent).
The next era of information management [Q&A]
With the emergence of generative AI technology, information management is undergoing rapid transformation.
The productivity of knowledge workers is critically important to the growth and profitability of businesses, and organizations are turning to solutions that help automate mundane, time-consuming tasks. We talked to Antti Nivala, founder and CEO of M-Files, to find out more aboput this new era of information management.
Enterprises not getting full value from their data
According to a new report, 73 percent of IT leaders are still struggling to transform data into delivering significant business value.
The survey of 150 UK IT leaders by cloud consultancy Appsbroker & CTS finds 91 percent have a specific mandate from their board or executive team to make their organization more data-driven and data-centric.
Logs, metrics and traces -- unlocking observability [Q&A]
Ensuring observability has always involved three pillars: logs, metrics and traces. However, the reality is that most organizations simply store this information in silos which are incapable of communicating with one another.
Jeremy Burton, CEO of Observe, believes organizations need to go beyond the three pillars of past failed solutions and instead view observability as purely a data problem. We talked to him to learn more.
AIOps models deliver limited value say tech leaders
A new study reveals that 97 percent of technology leaders find traditional AIOps models deliver limited value, leaving teams unable to tackle data overload.
The global survey of 1,300 CIOs and technology leaders in large organizations, carried out for Dynatrace, also finds that 88 percent of organizations say the complexity of their technology stack has increased in the past 12 months, and 51 percent say it will continue to increase.
Cohesity launches gen AI search solution for business data
Businesses are dependent on data but extracting useful information in order to aid decision making, while ensuring it stays secure, can prove surprisingly difficult.
Cohesity Gaia, is the industry's first generative AI-powered conversational search assistant. Designed to help access organizations’ most important data to make smarter decisions faster, all while keeping data secure and compliant.
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