Confluent launches Build with Confluent
New SI partner programme helps speed up development of real-time solutions customers demand, from GenAI bots to fraud detection
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New SI partner programme helps speed up development of real-time solutions customers demand, from GenAI bots to fraud detection
Whilst most of the attention around artificial intelligence (AI) thus far has been on ChatGPT, it is just the tip of the iceberg. In many ways, ChatGPT shouldn’t be thought of as true AI as it is – at its heart – just generative, learned behaviour. The future of AI, in contrast, is a system that can think for itself autonomously. The really exciting stuff is yet to come. The good news is that this evolution towards a brighter future is much closer than previously predicted.
The CRUK (Cancer Research UK) Scotland Institute and Oxford Drug Design, a biotechnology company with core expertise in AI drug discovery, have announced that their joint application for the MRC (UK Medical Research Council) National Mouse Genetics Network (NMGN) Business Engagement Fund has been awarded.
The CRUK (Cancer Research UK) Scotland Institute and Oxford Drug Design, a biotechnology company with core expertise in AI drug discovery, have announced that their joint application for the MRC (UK Medical Research Council) National Mouse Genetics Network (NMGN) Business Engagement Fund has been awarded.
After successfully strategising, building, and launching an app, what comes next? The post app launch period for a business is critical. For small or medium sized businesses with limited budget, staff, and resources, it is critical to be aware of the importance of this stage of the app development process and make decisions that will ensure the app’s long-term growth and success.
The most successful apps are those that develop a clear strategy for success and identify what success looks like. However, the post-launch period is the most crucial for the business. A flexible mindset, openness to change, and a commitment to continuous innovation are key ingredients for your app’s long-term success. This article will explore how to embed that throughout the process.
After successfully strategising, building, and launching an app, what comes next? The post app launch period for a business is critical. For small or medium sized businesses with limited budget, staff, and resources, it is critical to be aware of the importance of this stage of the app development process and make decisions that will ensure the app’s long-term growth and success.
The most successful apps are those that develop a clear strategy for success and identify what success looks like. However, the post-launch period is the most crucial for the business. A flexible mindset, openness to change, and a commitment to continuous innovation are key ingredients for your app’s long-term success. This article will explore how to embed that throughout the process.
After successfully strategising, building, and launching an app, what comes next? The post app launch period for a business is critical. For small or medium sized businesses with limited budget, staff, and resources, it is critical to be aware of the importance of this stage of the app development process and make decisions that will ensure the app’s long-term growth and success.
The most successful apps are those that develop a clear strategy for success and identify what success looks like. However, the post-launch period is the most crucial for the business. A flexible mindset, openness to change, and a commitment to continuous innovation are key ingredients for your app’s long-term success. This article will explore how to embed that throughout the process.
In the past year or so, we have seen the emergence of many new and exciting applications for predictive AI in the energy industry to better maintain and optimise energy assets. In fact, the advances in the technology have been nothing short of rapid. The challenge, though, has been in supplying the ‘right’ data to make them effective.
It will be interesting to see what the future holds for predictive AI. Whilst there is much to admire, predictive AI is still in the emerging technologies phase and needs to overcome the challenges of scaling up. This article focuses on the benefits of the technology and what the energy sector will need to focus on over the next 12 months to ensure it doesn’t try to run before it can walk.
European banks are playing a growing role in driving AI startup investment, according to new data from AI benchmarking and intelligence platform Evident.
The digital revolution has disrupted nearly every industry, and manufacturing is no exception. With advancements in artificial intelligence (AI) and the Internet of Things (IoT), the manufacturing sector is undergoing a transformative shift, unlocking new possibilities, and redefining traditional processes. Before we dive deep into the topic it’s important to understand what digital manufacturing is. Digital manufacturing refers to the integration of digital technologies into the manufacturing process, encompassing everything from design and prototyping to production and distribution. AI and IoT play a crucial role in this transformation by providing manufacturers with valuable insights, automation capabilities, and real time data.
In response to Proximity Data Centre’s e-book, Glide’s CTO, Sean Lowry explores the impact of low latency on gaming, the Metaverse, and AI. He explains how dark fibre and Glide’s “Fibre Cities” are primed to support the evolving needs of edge data centres and seamless connectivity.
The launch of Chat GPT-4 in March of this year provided the catalyst for a conversation that has been gaining momentum for some time now: How will artificial intelligence (AI) change the world?
A key retail tech approach for 2023 is clienteling, which uses AI to offer customers the best of both worlds – the human touch coupled with the most personalised digital experiences. It means the establishment of long-term relationships with shoppers by using customer data that provides real-time insight into their preferences, behaviours, and purchases. This strengthens the bond between retailer and shopper, enhances the customer experience, and encourages them to return to the store.
As an AI language model, ChatGPT is a unique product with no direct competitors. However, there are several other companies…
Can Artificial Intelligence Deliver Real Value Today?
AI is in its infancy, but the early shoots of growth hold great promise for the industry. According to the Boston Consulting Group, although 59% of organisations have developed an AI strategy, and 57% have carried out pilot projects in the area, only 11% have seen any kind of return from AI. That said, the potential is vast; some sources estimate that the size of the global AI market could increase tenfold from $15bn (2021) to $150bn by 2028, and in the UK, expenditure on AI technologies could reach £83bn by 2040, from £16.7bn in 2020.
Whatever the application, most AI projects usually start as small, experimental tests hosted on a server in-house, and eventually graduate to cloud environments, where their uptime, security, scalability and maintenance can be assured. However, this migration is often the most difficult and painful.
Guanchun Wang, Chairman and CEO
of Laiye shares how artificial intelligence can help fix stagnant UK productivity.
Ahsan Zafeer covers topics related to tech and digital marketing and tweets @AhsanZafeer. Here he explains people’s fears as to why machines are taking over their jobs.
Simon Walker, Managing Partner at Kubrick, shares how to tackle the digital skills gap.
BT’s new Partner Advisory Board will help accelerate digital transformation among UK businesses
Jean-Denis Garo, Head of Product Marketing, Odigo shares how 3 out of 4 of European businesses have invested in AI for CX