Generative artificial intelligence (GenAI) entered the public consciousness and debate about one year ago. As a science, it goes back several years but as an applicable piece of software, it is very much in its infancy. 

Text, images, and audio can be generated by GenAI models,but their integration into existing software tools worldwide is still in its early stages. Similarly, the majority of business leaders are only talking about GenAI, with some experimenting through proofs of concepts, while a small minority have deployed initial, and usually specific, use cases.

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One of the key recent concerns for security teams has been developing the ability to adapt to advancements in technology and innovations such as AI and quantum computing.

A new partnership between Accenture and SandboxAQ aims to give organizations the ability to scan all of their files, applications and network traffic to ensure that all of their data -- whether on-premise or hosted via major cloud providers -- is secure even if attackers break through firewalls and network endpoints.

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According to a new study, 94 percent of global organizations have experienced email security incidents last year, up two percent from the year before.

The latest Email Security Risk Report from Egress looks at attitudes and approaches to email security, the evolution of risks, and the impact of incidents, based on responses from 500 cybersecurity leaders.

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Microsoft continues to throw everything at artificial intelligence, in particular its AI companion Copilot. The company's latest move sees it launching Copilot Pro, a subscription service which gives anyone -- not just businesses and organizations -- access to a more up-to-date and advanced version of the chatbot, including OpenAI's GPT-4 Turbo model.

Designed with "power users, creators and anyone looking to take their Copilot experience to the next level" in mind, Copilot Pro is a $20-per-month attempt by Microsoft to squeeze some money out of AI. The company has also expanded the availability of Copilot for Microsoft 365 to more commercial customers.

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In 2017, WannaCry caused significant disruption to the UK public and private sector. The disruption highlighted vulnerabilities within corporate and government systems, most notably within the UK. It impacted hospitals, healthcare facilities and social care, causing operations and admissions to be cancelled, delayed, or postponed.

The attack exposed a lack of robust cyber security measures, failings in basic IT administration and emphasized the importance of investing in strong defenses to safeguard critical public infrastructure. It prompted a renewed focus on cyber security within the UK and initiated efforts to enhance resilience against future cyber threats.

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Microsoft has announced a series of new artificial intelligence tools, options and capabilities which the company is using to empower retailers.

From copilot templates designed to help retailers provide personalized experiences for customers to generative AI tools for creating ads, Microsoft continues to push hard with AI. Of particular interest in the latest batch of tools is Retail Media Creative Studio, currently in preview.

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Industry giant IBM is today announcing a collaboration with ERP specialist SAP to develop solutions to help clients in the consumer packaged goods and retail industries enhance their supply chain, finance operations, sales and services using generative AI.

This involves embedding IBM's watsonx enterprise-ready AI and data platform and AI assistants, into SAP solutions to create new generative and traditional AI solutions focused on addressing the complexities of the direct store delivery business process and product portfolio management.

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More than 10 percent of enterprise employees access at least one generative AI application every month, compared to just two percent a year ago, but there are security risks as a result.

New research from Netskope shows ChatGPT was the most popular generative AI application in 2023, accounting for seven percent of enterprise usage. The number of cloud apps the enterprise accessed also increased by an average of 19 percent per year, with users jumping from 14 to 20 different apps in just two years.

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AI is growing in popularity and this trend is only set to continue. This is supported by Gartner which states that approximately 80 percent of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models by 2026. However, AI is a broad and ubiquitous term, and, in many instances, it covers a range of technologies.

Nevertheless, AI presents breakthroughs in the ability to process logic differently which is attracting attention from businesses and consumers alike who are experimenting with various forms of AI today. At the same time, this technology is attracting similar attention from threat actors who are realising that it could be a weakness in a company’s security while it could also be a tool that helps companies to identify these weaknesses and address them.

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Closed AI products like Bard and ChatGPT (ironically from OpenAI) have already delivered a practical, powerful chatbot experience and are being employed by many businesses.

Open AI by contrast is still in its early stages and has not seen wide adoption. We spoke to Mike Finley, CTO and co-founder of AnswerRocket, to find out the differences between the two and how they're set to develop.

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Generative AI has the potential to reshape entire industries and how they operate, and financial services stand out as uniquely poised for AI-driven transformation. McKinsey & Company calls generative AI the next frontier for productivity, estimating that analyzing natural language text -- a core generative AI use case -- accounts for an average of 25 percent of the time people spend in any given enterprise.

The finance industry is a data-driven industry, so it’s no surprise that finance sector firms see big potential in using generative AI to tackle use cases that require assessing enormous amounts of unstructured data, such as company due diligence, know-your-customer (KYC) requirements, sustainability research, and controversy monitoring.

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Today at CES 2024, Lenovo introduced four new ThinkBook laptops -- the ThinkBook Plus Gen 5 Hybrid, the ThinkBook 13x Gen 4, the ThinkBook 14 i Gen 6+ and the ThinkBook 16p Gen 5.

These new laptops are designed to cater to the needs of a diverse user base, from media content creators to logistics professionals.

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Many leaders have been extremely aggressive about their AI strategies this year. However, despite the buzz generated by these technologies, most leaders are still scratching their heads trying to brainstorm real, practical ways to implement AI.

I’ve identified three common questions from leaders about AI for the enterprise and answered them with pragmatic guidance on the steps they can take today to make the most of these innovative technologies.

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The ChatGPT Revolution is the ultimate quick-start guide to unlocking the power of AI tool ChatGPT. We’re on the edge of an AI revolution… but what does that mean for you? It’s time to get curious about how the latest tech can help you handle your everyday load, at work and at home!

Whether you’re overwhelmed by repetitive, time-consuming tasks or you’re simply looking for a fresh injection of creativity, ChatGPT is the virtual assistant that’s got your back.

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AI’s path to maturity lacks footing without the stamp of regulation. While the recent developments of the White House executive order and the EU AI Act are a good start, there’s a lot of progress to be made in terms of AI research and rule-making. Because if we want to unlock the full range of AI use cases, we’re going to need precise regulation, tailored to the unique needs of each sector.

Generative AI sparks an opportunity to transform every industry; a prospect that has prompted a flurry of AI innovation across verticals that will undoubtedly send ripple effects throughout the economy. McKinsey estimates that across 63 different use cases, generative AI could contribute between $2.6 trillion to $4.4 trillion to the global economy annually. But sector and use-case-specific regulatory framework is imperative if we want to harness this potential and ensure responsible, safe applications of generative AI.

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