Tag Archives: AI

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The need to clean data for effective insight

There is more data today than ever before. In fact, the total amount of data created, captured, copied, and consumed globally has now reached an incredible 149 zettabytes. The growth of the big mountain is not expected to slow down, either, with it expected to reach almost 400 zettabytes within the next three years.
Whilst more data generally leads to more insight, the quality of that insight can only be as good as the quality and relevance of the data going in. Ensuring that the right data is collected − not just in terms of volume but in context and accuracy too − is paramount. Once this bad data infiltrates the system, problems begin. Yet, keeping data clean and true can be a real challenge.

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Tech and Business Outlook: US Confident, European Sentiment Mixed

The VivaTech Confidence Barometer, now in its second edition, reveals strong confidence among tech executives regarding the impact of emerging technologies on business competitiveness, particularly AI, which is expected to have the most significant impact in the near future. Surveying tech leaders from Europe and North America, 81% recognize their companies as competitive internationally, with AI investments set to increase. American and British leaders feel particularly ahead in tech innovation. Despite widespread optimism, concerns persist about privacy, fake news, and environmental impacts. However, technology is also seen as a vital solution to societal challenges, including misinformation and enhancing diversity and inclusion.

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A Roadmap to Security and Privacy Compliance

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.

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Custom Software Development

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.

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Custom Software Development

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.

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Embracing digital AI recruitment without rocking the boat

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.

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Why a data strategy underpins a successful AI strategy

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.

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The CTO: From backroom to boardroom

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.

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The CTO: From backroom to boardroom

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.

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Ensuring AI comes out of the shadows

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.

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Artificial general intelligence is closer than expected

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.

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Grant Funding Awarded to Advance Cancer Therapeutics Discovery

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.

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Grant Funding Awarded to Advance Cancer Therapeutics Discovery

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.

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How to optimise an app for sustained growth

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.

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How to optimise an app for sustained growth

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.

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How to optimise an app for sustained growth

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.

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How Predictive AI is Helping the Energy Sector

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.

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