Generative AI in the legal sector [Q&A]
The use of generative AI isn't just confined to the tech sector, it's appearing in lots of other industries too in order to streamline operations and boost digital transformation efforts.
We spoke to Jay Madheswaran, CEO of Eve, to learn more about how GenAI is being used by legal firms and the challenges that adopting it can present.
GenAI tools don't increase coding efficiency
While AI is often touted as being the solution for all kinds of tasks, when it comes to developing software it seems that it may not always be improving things.
A new study from Uplevel suggests that today's GenAI-based developer tools don't tend to increase coding efficiency and can actually increase bug rates.
Druva launches natural language tool to help cybersecurity investigations
When investigating an incident to contain and remediate a threat, security teams need to understand complex attack patterns, such as malware gestation, score, and sprawl -- the answers to which all lie in the data and systems.
To help with this process Druva is releasing Dru Investigate, a GenAI-powered tool that guides data security investigations using a natural language interface.
Save $23! Get 'Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society' for FREE
Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs.
In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do.
Dell and Red Hat collaborate to bring Linux AI workloads to PowerEdge servers
Dell Technologies and Red Hat have announced a partnership to enhance open-source AI workloads by bringing Red Hat Enterprise Linux AI (RHEL AI) to Dell PowerEdge servers. This collaboration positions RHEL AI as a preferred platform for deploying AI applications on Dell’s PowerEdge R760xa servers.
RHEL AI, designed as an AI-optimized operating system, aims to help organizations more easily develop, test, and run large language models (LLMs) for enterprise applications. By validating RHEL AI for AI workloads on Dell hardware, this partnership seeks to simplify the implementation of AI strategies while scaling IT infrastructure.
The future of data analytics in business intelligence [Q&A]
In a little more than a decade, data analytics has been through several big transformations. First, it became digitized. Second, we witnessed the emergence of 'big data' analytics, driven partly by digitization and partly by massively improved storage and processing capabilities.
Finally, in the last couple of years, analytics has been transformed once again by emerging generative AI models that can analyze data at a previously unseen scale and speed.
Publicly available GenAI development apps open to exploitation
New research from Legit Security shows that widely available GenAI development services risk sensitive information exposure, or leakage of secrets.
Legit's analysis of unprotected vector databases finds that 30 servers investigated contained corporate or private data, including company email conversations, customer PII, product serial numbers, financial records, resumes, and contact information.
CrowdStrike integrates Falcon cybersecurity with NVIDIA NIM Agent Blueprints to support secure generative AI development
CrowdStrike has announced its integration of the Falcon cybersecurity platform with NVIDIA NIM Agent Blueprints, aimed at helping developers securely utilize open-source foundational models and accelerate generative AI innovation.
Developing enterprise-grade generative AI applications involves a complex process that requires blueprints for standard workflows—such as customer service chatbots, retrieval-augmented generation, and drug discovery—to streamline development. Ensuring the security of these models and the underlying data is essential for maintaining the performance and integrity of generative AI applications.
Get 'Generative AI: Navigating the Course to the Artificial General Intelligence Future' FREE for a limited time
In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol -- founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys -- delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence.
In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.
How GenAI is changing business and society [Q&A]
Generative AI started out as a bit of a novelty, allowing you to create writing or artwork based on simple prompts. But increasingly it's having an impact on many areas of the world, from writing code to composing music and aiding research.
In a new book, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society, futurist and thought leader Bernard Marr takes a closer look at the impact of GenAI. We talked to him to find out more.
OpenAI is developing a tool that can reveal whether text has been created by AI
Generative AI is hard to avoid whether you like it or not. Images created by artificial intelligence proliferate online, as do news reports and countless other types of content -- including essays and research articles.
While it is sometimes incredibly easy to tell when Gen AI has been used to create a portion of text, this not always the case. But that could be set to change as OpenAI is working on a way to watermark Gen AI text, just as has been possible with images created by AI.
Companies lack policies to deal with GenAI use
While 27 percent of security experts perceive AI and deepfakes to be the biggest cybersecurity threats to their organisations not all have a responsible use policy in place.
The third part of a survey of over 200 information security professionals carried out at Infosecurity Europe 2024 has been released today by KnowBe4 and it finds 31 percent of security professionals admit to not having a 'responsible use' policy on using generative AI within the company currently in place.
Financial services companies concerned about use of AI but still plan to increase spending
Almost half of financial services leaders had a positive view of AI in 2023. But despite this initial excitement, the implementation of planned initiatives this year has been sluggish.
A new report from Lucidworks finds only one in four AI projects have been deployed, similar to many of the other industries surveyed. In 2023, the most common expected impact of Gen AI for financial services was business operations improvement. The majority of deployed initiatives followed suit in 2024, however, the industry reports below average cost and revenue benefits.
Enterprises struggle to govern use of AI in development
A new study from Checkmarx shows that 99 percent of enterprises are using AI code generation tools, yet only 29 percent have established any form of governance.
The survey of 900 CISOs and application security professionals worldwide finds 15 percent of respondents have explicitly prohibited the use of AI tools for code generation within their organizations.
Accenture launches AI Refinery framework with NVIDIA AI Foundry for custom Llama 3.1 models
Accenture has unveiled its Accenture AI Refinery framework, built on NVIDIA AI Foundry, to help clients develop custom LLM models using the newly introduced Llama 3.1 collection. This framework, part of Accenture’s foundation model services, is designed to enhance the use of generative AI by allowing businesses to create LLMs tailored to their specific domains and business processes.
The AI Refinery framework includes four main components: domain model customization and training, the Switchboard platform for model selection, an enterprise cognitive brain for indexing corporate knowledge, and Agentic architecture for autonomous AI actions.
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