Oliver King-Smith, CEO and founder smartR AI

Picture of Oliver King-Smith, CEO and founder smartR AI
Oliver King-Smith is CEO of smartR AI, a company which a company which facilitates and empowers organizations to extract real value from their data in an ethical, responsible, and sustainable manner using cutting edge AI technology.
Beyond Buzzwords: How AI Drives Real Results in Telecom

Beyond Buzzwords: How AI Drives Real Results in Telecom

Tech News & Insight
This article argues that AI is revolutionizing the telecom industry, offering significant cost savings, improved network performance, and enhanced customer experiences. It highlights AI’s ability to optimize networks, detect fraud, and improve customer service. The article emphasizes the importance of selecting the right AI solution, focusing on tailored, secure, cost-effective, and compliant models. Ultimately, it positions AI as a crucial tool for telecom companies to thrive in a competitive landscape by automating tasks, improving efficiency, and prioritizing customer satisfaction.
Navigating the Telecom Data Tsunami: Unlocking Actionable Insights

Navigating the Telecom Data Tsunami: Unlocking Actionable Insights

Tech News & Insight
This article delves into how AI might be reshaping the landscape for telecom companies. Given the sheer volume of data these companies now grapple with, is the current pace of decision-making truly unsustainable? Could AI, with its promise of rapid data analysis, be the key to unlocking critical insights, optimizing network performance, and gaining a deeper understanding of customer behavior? And consider: how can telecom companies securely integrate AI into their operations? What is the role of human expertise in this AI-driven transformation? Ultimately, will a thoughtful and collaborative approach to AI implementation translate into more efficient data utilization and, consequently, improved business outcomes for these telecom giants?”
The AI Advantage: From Dream to Reality in Telecom and Finance

The AI Advantage: From Dream to Reality in Telecom and Finance

Tech News & Insight
Artificial Intelligence promises to revolutionize the telecom industry, but many organizations struggle to see a return on their AI investments due to flawed implementation. The path to real AI success lies in prioritizing trust, security, and people, fostering an AI-driven culture. This involves building human oversight into every stage, developing intuitive tools, and empowering teams with training. Embracing this human-centered approach unlocks benefits like optimized network performance and enhanced customer experience.

The Data Analyst’s Dilemma: Reclaiming Time for Profit in the Modern Business Landscape – A Business Perspective

Tech News & Insight
This article explores the challenges data analysts face due to time-consuming data wrangling, hindering strategic analysis. It highlights how fragmented data, quality issues, and compliance demands contribute to this bottleneck. The solution proposed is AI-powered automation for tasks like data extraction, cleansing, and reporting, freeing analysts. Implementing AI offers benefits such as increased efficiency, improved decision-making, and reduced risk, but requires careful planning. The article concludes that embracing AI while prioritizing data security and privacy is crucial for staying competitive.
The Human Investment Dilemma: An Expanded Exploration

The Human Investment Dilemma: An Expanded Exploration

Tech News & Insight
Imagine a world turned upside down: what if the very beings we create, the robots, were suddenly tasked with evaluating us? This article plunges into that thought-provoking scenario, exploring the mind of a machine tasked with assessing the strange, often frustrating, and ultimately fascinating species known as “human.” Robots, built for efficiency and logic, grapple with our inherent flaws: our maddening unpredictability, the need for constant social interaction, the messy complexities of creativity, the relentless maintenance required, and, perhaps most perplexing of all, the “empathy bug.” Ultimately, the robots are left with a fundamental question: why do we, the humans, even bother to exist? Are we, in the robots’ eyes, a worthwhile investment? Or is the true ROI of humanity something far more profound, something that only the human heart can truly grasp?
AI Meets The Final Frontier - Can Satellites Really Detect Your Farts?

AI Meets The Final Frontier – Can Satellites Really Detect Your Farts?

Tech News & Insight
At Manchester’s UK Space Conference, I discovered space companies drowning in data while ignoring the AI solutions that could save them. Between dodging aggressive panhandlers and debating whether NVIDIA chips belong in orbit, I learned that “Gas Stations in Space” is brilliant marketing, and why most space executives still think like graduate students.
The Future of AI: Opportunities and Risks in the Next Decade

The Future of AI: Opportunities and Risks in the Next Decade

Tech News & Insight
Predicting AI’s future is difficult, but its impact on work and life is certain. Many organizations are hesitant, “nibbling around the corners” instead of embracing transformative applications. This slow adoption, however, has allowed us to better understand and utilize large language models. The AI revolution mirrors the steam engine transformation, with organizations needing to integrate AI to stay competitive. The biggest winners will be those that successfully integrate AI, gaining a significant advantage. The most significant transformation will be in knowledge management, how organizations make decisions and leverage collective intelligence.
Why Smart Companies Skip Cleaning Data

Why Smart Companies Skip Cleaning Data

Tech News & Insight
This article critiques the common practice of exhaustive data cleaning before implementing AI, labeling it a consultant-driven “scam.” Data cleaning is a never-ending and expensive process, delaying AI implementation while competitors move forward. Instead, I champion a “clean as you go” approach, emphasizing starting with a specific AI use case and cleaning data only as needed. Smart companies prioritize iterative improvement by using AI to fill in data gaps and building safeguards around imperfect data, ultimately achieving faster results. The core message is it’s more important to prioritize action over perfection, enabling quicker AI adoption and thereby competitive advantage.
The AI Risk Equation: Delay vs Safety – Calculating the True Cost

The AI Risk Equation: Delay vs Safety – Calculating the True Cost

Tech News & Insight
The pressure to adopt artificial intelligence is intense, yet many enterprises are rushing into deployment without adequate safeguards. This article explores the significant risks of unchecked AI deployment, highlighting examples like the UK Post Office Horizon scandal, Air Canada’s chatbot debacle, and Zillow’s real estate failure to demonstrate the potential for financial, reputational, and societal damage. It examines the pitfalls of bias in training data, the problem of “hallucinations” in generative AI, and the economic and societal costs of AI failures. Emphasizing the importance of human oversight, data quality, explainability, ethical guidelines, and robust security, the article urges organizations to proactively navigate the challenges of AI adoption. It advises against delaying implementation, as competitors are already integrating AI, and advocates for a cautious, informed approach to mitigate risks and maximize the potential for success in the AI era.
AI vs Bitcoin: Can Intelligence Clean Up Crypto’s Mess?

AI vs Bitcoin: Can Intelligence Clean Up Crypto’s Mess?

Tech News & Insight
The collision of two digital titans – AI and Bitcoin are on a collision course. One optimises the future; the other burns through energy to preserve the past. As AI sharpens its tools – from tracing tainted coins to auto-generating smart contracts – it is exposing crypto’s inefficiencies and vulnerabilities. Bitcoin may not die, but AI could force it to evolve: or risk irrelevance in a world demanding speed, sustainability and real utility.
From Manual to Machine: How AI is Streamlining Compliance in Financial Services

From Manual to Machine: How AI is Streamlining Compliance in Financial Services

Tech News & Insight
Financial institutions are adopting artificial intelligence (AI) to navigate complex regulations, transforming compliance into a competitive advantage. AI’s ability to process vast amounts of data quickly is proving transformative in meeting these challenges, automating tasks and improving efficiency. This shift allows compliance professionals to focus on strategic initiatives while ensuring regulatory compliance.

Efficiency vs. Expansion: How Progress Can Fuel Job Creation, Not Fear

Tech News & Insight
A focus on efficiency and cost-cutting, often driven by “bean counters” and “time and motion” experts, stifles innovation and leads to job losses, mirroring the current AI discourse. Overemphasis on efficiency, like the race to the bottom, can ultimately harms everyone except the initial beneficiaries. For example, distributed energy where building new infrastructure and expanding into new sectors, like solar, generates jobs in manufacturing, installation, and new industries. Instead of solely fearing job displacement, we should prioritize investment in innovation, education, entrepreneurship, and just transition policies to create a future where progress benefits all through job creation. I advocate for strategic investment to build the future, instead of just shrinking the present.
AI Arms Race and the Interplay of Tariffs with the EU AI Act

AI Arms Race and the Interplay of Tariffs with the EU AI Act

Tech News & Insight
The integration of tariffs and the EU AI Act creates a challenging environment for the advancement of AI and automation. Tariffs, by increasing the cost of essential hardware components, and the EU AI Act, by increasing compliance costs, can significantly raise the barrier to entry for new AI and automation ventures. European companies developing these technologies may face a double disadvantage: higher input costs due to tariffs and higher compliance costs due to the AI Act, making them less competitive globally. This combined pressure could discourage investment in AI and automation within the EU, hindering innovation and slowing adoption rates. The resulting slower adoption could limit the availability of crucial real-world data for training and improving AI algorithms, further impacting progress.
Decoding the Vibe - AI's Impact on Developer Expertise

Decoding the Vibe – AI’s Impact on Developer Expertise

Tech News & Insight
The emergence of “vibe coding,” a term representing AI-driven software development, presents both opportunities and risks to the industry. This approach, emphasizing prompt engineering and AI-generated code, can potentially increase productivity and democratize development, but it also introduces concerns about code reliability, skill degradation, and dependence on AI. To harness the benefits of AI while mitigating these risks, developers must prioritize robust testing, clear coding standards, and a balance between intuitive insights and rigorous technical practices, ensuring that the fundamentals of software development are not lost.
The West Is Falling Behind: How AI Can Help Us Accelerate Aerospace and Defense Innovation

AI and Aerospace: How the West Can Catch Up in Defense Innovation

Tech News & Insight
The West is falling behind fast. China constructs in days what takes the West years. Russia develops weapons we have no answer for. And the West’s defense programs? Drowning in redtape and billion-dollar overruns. But there is hope. AI can cut through bureaucracy, slash through development times, and help reclaim a technological edge. The future of Western aerospace isn’t inevitable, it’s optional.
Beyond the Hype: Unleashing the Power of Private, Affordable, Assistive AI for a Better Future

Beyond the Hype: Unleashing the Power of Private, Affordable, Assistive AI for a Better Future

Tech News & Insight
AI stirs both excitement and concern. While some companies rush to take advantage of it, many are cautious due to the challenges and costs. However, there may be a better approach: using Assistive Intelligence with small, specialized models instead of Large Language Models. This method is more affordable and can benefit businesses and society. Emphasizing open-source technology respects privacy and fosters true innovation. By focusing on solving real problems, we enable growth and empower people to explore Assistive AI without high costs.
Rethinking AI: From Artificial to Assistive Intelligence

Rethinking AI: From Artificial to Assistive Intelligence

Tech News & Insight
This article reflects on the misconceptions we have about AI, and discusses the fallacy of understanding AI’s underlying mechanisms, as it can demonstrate intelligent behavior despite our understanding. AI is developing its own form, capable of analyzing vast datasets, identifying patterns, and making connections that humans might take years to discover. And highlighting the power of partnership in AI projects, where both human and machine intelligence contribute their unique strengths. By combining human strengths with AI’s, we can create something greater than the sum of its parts.
The Evolution of AI Training Efficiency: Emerging Trends and Market Implications

The Evolution of AI Training Efficiency: Emerging Trends and Market Implications

Tech News & Insight
Recent advancements in artificial intelligence training methodologies are challenging traditional assumptions about computational requirements and efficiency. Researchers have discovered an “Occam’s Razor” characteristic in neural network training, where models favor simpler solutions over complex ones, leading to superior generalization capabilities. This trend towards efficient training is expected to democratize AI development, reduce environmental impact, and lead to market restructuring, with a shift from hardware to software focus. The emergence of efficient training patterns and distributed training approaches is likely to have significant implications for companies like NVIDIA, which could face valuation adjustments despite strong fundamentals.
Challenging the Notion That LLMs Can’t Reason: A Case Study with Einstein’s Puzzle

Challenging the Notion That LLMs Can’t Reason: A Case Study with Einstein’s Puzzle

Tech News & Insight
When Apple declared that LLMs can’t reason, they forgot one crucial detail: a hammer isn’t meant to turn screws. In our groundbreaking study of Einstein’s classic logic puzzle, we discovered something fascinating. While language models initially stumbled with pure reasoning – making amusing claims like “Plumbers don’t drive Porsches” – they excelled at an unexpected task.
Enhancing Behavioral Intelligence AI Decision Engines with SLMs: Use Cases Across Industries

Enhancing Behavioral Intelligence AI Decision Engines with SLMs: Use Cases Across Industries

Tech News & Insight
The article discusses the potential of Small, Specialized, and Symbolic Learning Machines (SLMs) in Behavioral Intelligence (BI) Artificial Intelligence (AI) decision engines. Unlike traditional machine learning models, SLMs use symbolic reasoning to make decisions and provide clear explanations for their predictions. This transparency is crucial in sensitive areas where decision-making explanations are essential. The article explores various applications of SLMs in BI AI decision engines and concludes that SLMs offer a promising pathway towards more energy-efficient and sustainable AI, reducing computational demands and enabling edge deployment while providing comparable performance for specific tasks.
Data, energy, people and planet: Some SLM balance in the polarized digital age

Data, energy, people and planet: Some SLM balance in the polarized digital age

Tech News & Insight
SLMs present an exciting opportunity for creating a more energy-efficient and sustainable approach to AI. They lower computational requirements, facilitate edge deployment, and maintain similar performance levels for certain tasks, which can help lessen the environmental footprint of AI while still providing essential advantages. Additionally, prioritizing data privacy and responsible data management can greatly reduce energy use in data centers. By encouraging ethical data practices, empowering users, and promoting energy efficiency through SLMs, we can pave the way for a greener and more privacy-aware digital landscape.
From Visionary to Victory: How to Successfully Implement AI in Your Organization

From Visionary to Victory: How to Successfully Implement AI in Your Organization

Tech News & Insight
AI can drive innovation, efficiency, and competitive advantage in organizations. However, implementing AI projects can be challenging, especially when endpoints are unclear and outcomes are uncertain. To effectively apply AI, focus on tasks that humans find tedious or complex, well-defined information environments, and opportunities to capture critical knowledge. Overcoming common challenges in AI project implementation includes focusing on measurable outputs, iterating and refining AI systems, and distinguishing between bugs and limitations in AI architecture. Maximizing the value of AI in an organization involves enhancing human capabilities, focusing on how AI can make employees more effective and efficient. By implementing these strategies, organizations can maximize the value of their AI investments and drive innovation, efficiency, and competitive advantage.
AI’s Reality Check: When the Hype Train Hits a Brick Wall

AI’s Reality Check: When the Hype Train Hits a Brick Wall

Article & Insights
AI projects are struggling to deliver expected benefits due to complexity, cost, time, technical challenges, and market dynamics. The innovation-adoption gap is outstripping the market’s ability to adapt and find practical applications, leading to overinvestment in promising ideas without sufficient market demand. A fundamental shift in perspective is needed: AI should be viewed as a tool to enhance human productivity, not as a replacement for humans. Successful AI projects incorporate humans at critical junctures, such as problem definition, data preparation, model training, output validation, and ethical oversight. Balancing potential with pragmatism is crucial for successful AI implementation.
AI and Sports: Game-changer?

AI and Sports: Game-changer?

Article & Insights
Sports, an activity defined by human movement, may not appear to have much to do with AI. But if there is one thing we know about the impact of AI, is that it is pervasive. Certainly, the sports industry will be no exception. With the Olympics just finalized in Paris, we are here to guide you through how AI seeks to improve the sports industry, along with some of the risks we should be aware of going forward.
Unlock Hidden Relationships in Your Data with SCOTi’s new Graph Creator Function

Unlock Hidden Relationships in Your Data with SCOTi’s new Graph Creator Function

News
At the request of ex government minsters, smartR AI has developed SCOTi Graph Creator, the latest addition to the SCOTi® AI suite. Graph Creator allows organizations to trace complex relationships in unstructured data and transform those relationships into actionable insights, while maintaining control over sensitive information.
EU AI Act: A Game-Changer with Some Head-Scratchers

My Take on the EU AI Act: A Game-Changer with Some Head-Scratchers

News
The European Union AI Act, a 458-page document with 113 articles, aims to categorize AI systems based on risk levels: unacceptable, high, limited, and minimal risk. It bans government social scoring systems and manipulative AI systems, with strict compliance requirements for high-risk areas like infrastructure and healthcare. As the AI field continues to evolve rapidly, the legislation will need to keep pace with updates and interpretations. It’s essential for companies to prioritize transparency and risk assessment in their AI development process to comply with the new requirements. The EU AI Act represents a significant step in regulating AI, and its impact on the industry will be closely monitored as it unfolds.
DEMYSTIFYING GDPR AND AI - SAFEGUARDING PERSONAL DATA IN THE AGE OF LARGE LANGUAGE MODELS

GDPR and AI: Safeguarding Personal Data with LLMs

Article & Insights
Can you safely input personal data into AI models? The answer: it depends.

When it comes to using personal information in cutting-edge AI technology like LLMs, it’s important to consider GDPR compliance and the potential risks associated with data retention and leaks. The article delves into the key considerations, looks into mitigating risks as well as LLM’s and GDPR compliance.

Smaller, Faster, Greener: Cutting-Edge AI Models Do More with Less

Article & Insights
The demand for electricity and water to power and cool AI servers is ever increasing. Researchers are developing innovative solutions to mitigate the environmental impact. Four promising techniques include model reuse, ReLora, MoE, and quantization. As AI becomes more prevalent, we need to proactively reduce energy and water usage to benefit clients and contribute to a sustainable future.

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AI Pulse: Telecom's New Frontier - TeckNexus Magazine

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Private 5G/LTE and CBRS Networks in Action: Transforming Industries

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