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Only by understanding the current regulatory environment and implementing robust data protection measures, can organisations enhance their security posture, ensure compliance, and build resilience against the latest cyber threats. This article provides a comprehensive roadmap of how to do it.
There is a wide performance gap between industry-leading companies and other market players. What helps these top businesses outperform their competitors?
McKinsey & Company researchers are confident that these are digital technologies and custom software solutions. Nearly 70% of the top performers develop their proprietary products to differentiate themselves from competitors and drive growth.
As a custom software development agency, we at KnubiSoft have created different types of custom products, from MVPs to enterprise-level software. Based on our experience, tailored solutions always provide higher value than off-the-shelf generic software.
And, to help you navigate the custom software development process, we’ve compiled a collection of essential tips and tricks the KnubiSoft team often uses. But first, let’s start with the basics.
There is a wide performance gap between industry-leading companies and other market players. What helps these top businesses outperform their competitors?
McKinsey & Company researchers are confident that these are digital technologies and custom software solutions. Nearly 70% of the top performers develop their proprietary products to differentiate themselves from competitors and drive growth.
As a custom software development agency, we at KnubiSoft have created different types of custom products, from MVPs to enterprise-level software. Based on our experience, tailored solutions always provide higher value than off-the-shelf generic software.
And, to help you navigate the custom software development process, we’ve compiled a collection of essential tips and tricks the KnubiSoft team often uses. But first, let’s start with the basics.
Artificial intelligence (AI) is set to become indispensable in business operations. For global enterprises, AI offers significant benefits by simplifying complexity and enabling confident decisions—when used in the right way.
Those HR recruitment teams that seamlessly integrate AI technologies will optimise their recruitment practices and will have the opportunity to better realise their commitment to diversity, equity, and inclusion (DEI) initiatives. AI algorithms can, if care is taken, ensure fair and unbiased candidate evaluation, promoting a more diverse and inclusive workforce.
AI and machine learning offer exciting innovation capabilities for businesses, from next-level predictive analytics to human-like conversational interfaces for functions such as customer service. But despite these tools’ undeniable potential many enterprises today are unprepared to fully leverage AI’s capabilities because they lack a prioritised data strategy. Bringing siloed and far-flung unstructured data repositories into a single, accessible source is one of the enterprise inhibitors of being able to utilise AI effectively.
Over the past decade, the tech industry has transformed at an astonishing rate, often leaving both consumers and businesses struggling to keep pace. At the forefront of this digital revolution is the Chief Technology Officer (CTO), whose responsibilities have evolved far beyond keeping up with tech trends.
The role of the CTO has changed dramatically, shifting from primarily managing the technology stack to becoming strategic leaders who collaborate closely with CEOs. Today, they guide their organisations through technological complexities and drive innovation.
Over the past decade, the tech industry has transformed at an astonishing rate, often leaving both consumers and businesses struggling to keep pace. At the forefront of this digital revolution is the Chief Technology Officer (CTO), whose responsibilities have evolved far beyond keeping up with tech trends.
The role of the CTO has changed dramatically, shifting from primarily managing the technology stack to becoming strategic leaders who collaborate closely with CEOs. Today, they guide their organisations through technological complexities and drive innovation.
Whilst companies are right to encourage their teams to find innovative usages of GenAI to streamline workflows, many employees are using the technology in ways that are not being sanctioned by their employers. It is a phenomenon called shadow AI and is a growing concern.
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?
