AI News Update | Week 03-09 June 24

• Intel Unveils New Xeon Processor and Gaudi 3 Accelerator for Enterprise AI

Intel has announced the release of its new Xeon processor and Gaudi 3 accelerator, designed to enhance enterprise-level artificial intelligence capabilities. The Xeon processor is built with a new microarchitecture that enables up to 30% better performance compared to previous generations. It also includes hardware-enhanced security features such as memory encryption and software guard extensions.

The Gaudi 3 accelerator is specifically optimized for deep learning workloads, offering up to 8 times the performance of the previous generation. It supports a wide range of AI frameworks and tools, making it easier for developers to create and deploy AI applications at scale. In addition, Intel has also revealed pricing for its upcoming Ponte Vecchio GPUs, which are designed for high-performance computing workloads. The company is positioning these GPUs as more affordable alternatives to competing offerings from Nvidia and AMD.

Overall, Intel’s new releases demonstrate the company’s commitment to advancing AI capabilities in the enterprise space, with a focus on performance, security, and affordability.

• Harvard-MIT-Warton Study Highlights Pitfalls of Relying on Junior Staff for AI Training

A new study conducted by researchers from Harvard, MIT, and Wharton has revealed the potential drawbacks of relying on junior staff members to train artificial intelligence (AI) models. The study found that when less experienced employees are tasked with training AI systems, it can lead to biases and inaccuracies in the resulting models.

The researchers analyzed data from a company that used its own employees to label images for an AI model. They discovered that the labels provided by junior staff members were often inconsistent and of lower quality compared to those provided by more experienced workers. This resulted in the AI model performing worse on tasks related to the poorly labeled data. The study highlights the importance of having skilled and experienced workers involved in the training of AI models, especially when it comes to complex or sensitive tasks. It also underscores the need for organizations to invest in training and development programs to ensure that their staff members have the necessary expertise to work with AI systems effectively.

Overall, the findings of this study serve as a cautionary tale for businesses looking to leverage AI technology. They emphasize the critical role that human expertise plays in the development and deployment of AI models, and the potential risks associated with relying on less experienced workers for these tasks.

• Hugging Face and Pollen Robotics collaborate on open source robot

Hugging Face and Pollen Robotics have joined forces to create the first open source robot capable of performing household chores. The robot, named “Pollen,” is designed to be an affordable and accessible option for individuals looking to automate tasks such as cleaning and organizing.

Hugging Face CEO Clément Delangue emphasized the importance of making robotics technology more widely available. “We believe that open source robotics has the potential to revolutionize the way we live our daily lives,” he said. “By creating a robot that is both affordable and capable, we hope to make this technology accessible to everyone.”

Pollen Robotics CEO Raphaël Dabek added that the collaboration with Hugging Face was key to making Pollen a reality. “Hugging Face’s expertise in natural language processing and machine learning has been invaluable in bringing Pollen to life,” he said. “Together, we have created a robot that is not only capable of performing household chores, but also intuitive and easy to use.”

The companies plan to release the open source code for Pollen in the coming months, allowing individuals and organizations to modify and build upon the technology. With its affordable price point and open source nature, Pollen has the potential to bring robotics technology into the homes of people around the world.

• Microsoft’s Recall Feature Will Be Opt-In and Double Encrypted After Privacy Outcry

Microsoft has announced changes to its “Recall” feature, a tool that allows users to retract emails sent through Microsoft 365. Initially, the feature was enabled by default and allowed administrators to recall emails without the sender’s knowledge or consent. However, this sparked privacy concerns among users, who felt that it violated their trust and autonomy. In response to the outcry, Microsoft has decided to make the Recall feature opt-in, meaning that users will have to explicitly enable it before it can be used.

Additionally, Microsoft is introducing double encryption for recalled emails, which will ensure that only the sender and intended recipient can access the content of the email. This added layer of security aims to protect user privacy and prevent unauthorized access to sensitive information. The changes are expected to roll out in the coming weeks and will apply to all Microsoft 365 users. By making the Recall feature opt-in and introducing double encryption, Microsoft is addressing concerns around privacy and trust, and providing users with more control over their email communications.

• Study Finds that AI Legal Research Tools are Prone to Hallucinations

A recent study conducted by researchers at Stanford University has revealed that AI legal research tools are prone to hallucinations. The study found that these tools, which are designed to assist lawyers in their work, often generate false or misleading information.

The researchers evaluated several popular AI legal research tools and found that they frequently produced inaccurate results. In some cases, the tools generated responses that were completely unrelated to the questions being asked. These hallucinations, as the researchers call them, can have serious consequences for the legal profession, potentially leading to wrongful convictions or other miscarriages of justice.

The study highlights the need for further development and testing of AI legal research tools before they are widely adopted by the legal community. It also underscores the importance of human oversight in the use of these tools to ensure that they do not produce false or misleading information. As AI continues to play an increasingly important role in the legal profession, it is essential that these tools are rigorously tested and validated to ensure their accuracy and reliability.

• Snowflake Predicts Rise in Identity-Based Attacks on Customers in 2024

A new report from Snowflake, a leading cloud data platform provider, predicts that customer breaches will make 2024 the year of the identity siege. The report highlights the growing threat of cyber attacks targeting customers’ identities and warns businesses to take action now to protect their customers’ sensitive information.

According to the report, cybercriminals are increasingly turning to identity-based attacks as a way to gain access to valuable customer data. These attacks often involve phishing scams or other social engineering tactics designed to trick customers into giving up their login credentials or other personal information. The report urges businesses to take steps to improve their security measures and protect their customers’ identities, such as implementing multi-factor authentication, monitoring for suspicious activity, and educating employees and customers about the dangers of phishing and other cyber threats. With the right precautions in place, businesses can help prevent customer breaches and keep sensitive data out of the hands of cybercriminals.

Overall, Snowflake’s report serves as a wake-up call for businesses to take identity-based attacks seriously and prioritize customer security in 2024 and beyond.

• Revolutionizing Communication: Tomato AI’s Accent Softening Model for Call Centers

A new AI model promises to revolutionize the call center industry by reducing language barriers. Tomato AI has launched its Zero-Shot Accent Softening Model, which aims to make communication between customer service representatives and customers more efficient.

The AI model is designed to soften accents in real-time during phone conversations, making it easier for both parties to understand each other. This technology could be particularly useful for call centers that operate globally or serve customers who speak a variety of languages. According to Tomato AI, their new model can reduce the need for extensive language training for customer service representatives and improve overall customer satisfaction. The company also notes that the technology can help companies expand their customer base by making it easier for them to communicate with non-native speakers.

The launch of this innovative AI model has the potential to transform the call center industry, making it more accessible and efficient for both customers and businesses alike.

• BEM Secures $3.7M to Automate Unstructured Data Conversion for Engineers

BEM, a startup that specializes in automating the conversion of unstructured data into structured formats, has secured $3.7 million in funding. The company’s platform uses machine learning algorithms to automatically extract and organize data from various sources, including documents, images, and videos.

According to BEM, its technology can save engineers significant amounts of time and resources by eliminating the need for manual data entry and processing. The company also noted that its platform can help organizations improve their data quality and accuracy, which can ultimately lead to better decision-making and business outcomes.

The funding round was led by venture capital firm New Enterprise Associates (NEA), with participation from other investors including 500 Startups and M12 (Microsoft’s venture fund). BEM plans to use the funds to expand its engineering team and further develop its platform’s capabilities.

• Zingly’s Innovative Solution for Improving Customer Experience Across Industries

Customer experience has become increasingly important in today’s competitive business landscape. However, recent studies show that customer experience is declining across industries. To address this issue, Zingly offers an innovative new solution.

Zingly’s platform leverages advanced technologies such as AI and machine learning to provide personalized and proactive support to customers. The company’s solution enables businesses to anticipate customer needs and offer relevant solutions in real-time, leading to improved customer satisfaction and loyalty. Furthermore, Zingly’s platform integrates with various communication channels such as email, chat, and phone, providing a seamless experience for customers. This omnichannel approach ensures that customers can reach out to businesses through their preferred channel and receive consistent support across all touch points.

In conclusion, as customer experience continues to decline across industries, businesses must prioritize improving their customer service offerings. Zingly’s innovative solution provides a comprehensive and personalized approach to customer support, helping companies stay ahead of the curve in today’s digital age.

• SAP Acquires WalkMe: A Game-Changer in the Digital Adoption Space

In a move that is set to shake up the digital adoption space, SAP has announced its acquisition of WalkMe for a staggering $1.5 billion. This strategic move is aimed at enhancing SAP’s portfolio and expanding its reach in the rapidly growing market for digital adoption platforms.

WalkMe is a leading provider of digital adoption solutions that help organizations accelerate user onboarding and increase employee productivity. The company’s innovative platform leverages AI and machine learning to deliver personalized, contextual guidance to users within enterprise applications.

With this acquisition, SAP aims to strengthen its position as a leader in the enterprise software market by offering customers an end-to-end solution for digital adoption. By integrating WalkMe’s technology with its own suite of products, SAP will be able to provide organizations with a seamless experience across all their applications, resulting in improved user engagement and faster time-to-value. The acquisition is expected to close in the second quarter of 2024, subject to regulatory approvals and other customary closing conditions. Following the completion of the transaction, WalkMe will become part of SAP’s Cloud Business Group.

In conclusion, SAP’s acquisition of WalkMe is a significant milestone in the digital adoption space. The combined entity will offer customers an unparalleled solution for driving user engagement and maximizing the value of their enterprise applications. As businesses increasingly rely on technology to drive growth and innovation, this move positions SAP as a key player in helping organizations achieve their digital transformation goals.

• Adobe Clarifies New Terms of Service Language Amid User Concerns

In response to the vocal uproar over new terms of service language, Adobe has clarified its position and made efforts to address user concerns. The company stated that the changes were intended to improve security measures and prevent unauthorized access to customer accounts. However, many users expressed concern that the new terms would allow Adobe to remotely disable or delete their software installations.

In a statement released by Adobe, the company emphasized that it has no intention of removing or disabling any customer’s software without their explicit permission. The company also clarified that the language in question was not new and had been present in its terms of service for several years. Additionally, Adobe announced that it would be updating its terms of service to provide greater clarity and transparency regarding its security measures.

Overall, while there were initial concerns about the changes to Adobe’s terms of service, the company seems to have taken steps to address these issues and provide greater clarity to its users.

• Duality AI Unveils FalconEditor: A Game-Changing Digital Twin Simulation Platform

In a significant development in the field of artificial intelligence, Duality AI has announced the release of its highly anticipated FalconEditor digital twin simulation platform. This cutting-edge platform is designed to revolutionize the way simulations are created and executed, offering unparalleled accuracy and efficiency.

FalconEditor is built on Unreal Engine 5, leveraging its advanced capabilities to deliver photorealistic environments and highly realistic simulations. The platform enables users to create digital twins of real-world objects, systems, and processes, which can then be used for testing, optimization, and predictive maintenance purposes.

One of the key features of FalconEditor is its ability to integrate with various data sources, including IoT devices, sensors, and other relevant data streams. This allows for real-time monitoring and analysis of simulated environments, providing valuable insights that can be used to improve operational efficiency and reduce downtime. Furthermore, FalconEditor offers a user-friendly interface, making it accessible to users with varying levels of technical expertise. The platform also supports collaborative workflows, enabling teams to work together seamlessly on complex simulation projects.

Overall, Duality AI’s FalconEditor digital twin simulation platform is poised to transform the way simulations are created and utilized across various industries, including manufacturing, energy, and transportation. Its advanced capabilities and user-centric design make it an indispensable tool for organizations looking to stay ahead of the curve in today’s rapidly evolving technological landscape.

• Foundation Agents: Revolutionizing AI Decision Making in the Real World

In a recent development that is set to transform the field of artificial intelligence, Foundation Agents have emerged as a game-changing solution for enhancing AI decision making in real-world scenarios. These intelligent agents are designed to operate in complex environments and make decisions based on a range of variables, including data from sensors, cameras, and other sources.

One of the key advantages of Foundation Agents is their ability to learn and adapt to changing circumstances, enabling them to make more accurate predictions and decisions over time. This makes them ideal for use in industries such as finance, healthcare, and logistics, where rapid decision-making is critical. Moreover, Foundation Agents are designed to be highly scalable, making it possible to deploy them across multiple locations and scenarios. They can also be integrated with existing systems and infrastructure, allowing organizations to leverage their investments in technology while enhancing operational efficiency.

Overall, the emergence of Foundation Agents represents a significant step forward in the field of AI decision making. By enabling more accurate predictions and decisions in real-world scenarios, these intelligent agents are poised to revolutionize the way businesses operate and compete in today’s rapidly evolving technological landscape.

• Galileo’s Luna Revolutionizes GenAI Evaluation with Lower Costs and Faster Speeds

Galileo has launched its new product, Luna, which promises to revolutionize the evaluation of generative AI models. By leveraging a large language model (LLM) as the underlying evaluator, Luna boasts 97% lower costs and 11 times faster speeds compared to traditional human evaluation.

Luna’s innovative approach involves fine-tuning an LLM on a small set of human-labeled data, which is then used to label a larger dataset. This process significantly reduces the need for expensive and time-consuming human evaluation, making it more accessible and efficient for businesses and researchers alike.

With Luna, Galileo aims to democratize access to high-quality generative AI models by providing a cost-effective and rapid solution for evaluating their performance. This development has the potential to accelerate progress in the field of artificial intelligence and drive innovation across various industries.

• RelationalAI Unveils Powerful Knowledge Graph Coprocessor for Snowflake Users

In a significant development, RelationalAI has announced the launch of its new knowledge graph coprocessor designed specifically for users of Snowflake’s cloud data platform. This innovative technology is set to revolutionize how organizations process and analyze complex data sets.

The coprocessor leverages advanced graph algorithms and machine learning techniques to enable faster and more efficient analysis of large, interconnected datasets. By integrating directly with Snowflake, RelationalAI’s solution will allow users to seamlessly perform sophisticated analytics on their existing data without the need for costly and time-consuming data migration or transformation processes. This development is expected to have a substantial impact across various industries, including finance, healthcare, and retail, where understanding complex relationships within vast amounts of data is critical. With RelationalAI’s knowledge graph coprocessor, organizations can unlock new insights, make more informed decisions, and ultimately drive greater value from their data assets.

Overall, the launch of RelationalAI’s powerful knowledge graph coprocessor for Snowflake users represents a significant step forward in data analytics technology. As businesses increasingly rely on advanced analytics to gain a competitive edge, this innovation will play an essential role in shaping the future of intelligent data processing and analysis.

• AI researchers are calling out OpenAI for its lack of transparency and safety measures

A group of AI researchers is calling out OpenAI for its lack of transparency and safety measures. They argue that the company’s approach to AI development is irresponsible and could lead to catastrophic consequences, including human extinction. The researchers are demanding more openness and collaboration in the field, as well as the right to warn about potential risks associated with AI technology. This comes amid growing concerns over the rapid advancement of AI and its potential impact on society.

The group, which includes several former OpenAI employees, is criticizing the company’s decision to limit access to its research and restrict the ability of researchers to publish their findings. They argue that this approach stifles innovation and prevents the wider community from addressing critical safety issues. The researchers are calling for greater transparency and collaboration in the development of AI, as well as the establishment of an independent body to assess and mitigate risks associated with the technology.

• Snowflake Doubles Down on Enterprise AI with No-Code Studio and More

Snowflake is doubling down on its efforts to bring enterprise AI to the masses with the launch of a new no-code studio and other enhancements. The company’s latest offerings are designed to make it easier for businesses to build, deploy, and manage machine learning models without requiring extensive coding knowledge or expertise.

The new Snowflake AI Studio provides a drag-and-drop interface that allows users to quickly create and experiment with ML models using pre-built templates and components. It also includes tools for data preparation, model training and evaluation, and deployment and monitoring. In addition to the AI Studio, Snowflake is introducing other features aimed at making it easier for enterprises to leverage AI in their operations. These include a new data marketplace that allows customers to access third-party datasets directly within the Snowflake platform, as well as enhanced security and governance capabilities.

The company believes that these new offerings will help democratize AI and make it more accessible to businesses of all sizes. By reducing the barriers to entry for building and deploying ML models, Snowflake hopes to empower organizations to harness the power of data and analytics to drive innovation and growth.

• SAP and Microsoft join forces to accelerate AI integration into SAP’s enterprise solutions

A new partnership between SAP and Microsoft will see the integration of AI technology into more of SAP’s enterprise applications. The collaboration aims to enhance productivity, efficiency, and user experience for customers using SAP’s software.

SAP plans to embed Joule AI Copilot, its generative AI assistant, into several of its enterprise apps, including its customer relationship management (CRM) platform and its human resources (HR) software. This integration will enable users to access AI-powered features such as natural language processing and predictive analytics directly within the applications they use every day.

In addition, SAP announced plans to integrate Microsoft’s Copilot technology into its own products. The company hopes that this collaboration will help it stay ahead of the curve in terms of innovation and provide customers with cutting-edge solutions for their business needs.

• Human Native AI Raises $2.5M to Build the Marketplace for AI Training and Licensing Deals

In a recent development, Human Native AI has successfully raised $2.5 million in funding to further its efforts in creating a marketplace specifically designed for AI training and licensing deals. The company aims to address the growing demand for high-quality data and pre-trained models by connecting buyers and sellers in the AI industry.

The platform will facilitate transactions between those who have valuable datasets or models and companies seeking to enhance their AI capabilities. Human Native AI plans to use the funds to expand its team, improve the platform’s functionality, and attract more participants to the marketplace.

This initiative has the potential to democratize access to valuable AI resources and drive innovation across various industries. As the AI landscape continues to evolve, collaborations like this will play a crucial role in shaping the future of technology and its applications.

• Coral Guardian: Using AI to Protect Our Oceans’ Ecosystems

A new project from Google aims to use AI to help preserve coral reefs. The initiative, called “Coral Guardian,” will employ machine learning algorithms to analyze underwater images and identify areas of concern. By automating the process of monitoring coral health, the company hopes to provide researchers with more accurate data on reef ecosystems. This information can then be used to inform conservation efforts and protect these vital habitats from further damage.

The project is part of a larger effort by Google to leverage its expertise in AI for environmental good. The company has also developed tools to monitor deforestation and predict the impact of climate change on different regions around the world. With “Coral Guardian,” it hopes to make a meaningful contribution towards preserving one of our planet’s most important natural resources – coral reefs.

• Tektonic AI Raises $10M to Build GenAI Agents for Automating Business Operations

Tektonic AI, a startup that is building generative AI agents to automate business operations, has raised $10 million in a seed funding round led by Bain Capital Ventures. The company plans to use the funds to expand its team and accelerate the development of its platform.

Tektonic AI’s platform uses natural language processing (NLP) and machine learning algorithms to understand and execute complex tasks across different systems and applications. The platform can be used for a wide range of business operations, such as customer service, sales and marketing, and IT support.

The company’s CEO and co-founder, Ravi N. Raj, said that Tektonic AI is poised to transform the way businesses operate by enabling them to automate tasks that were previously done manually. He added that the platform can help companies save time and resources while improving efficiency and accuracy.

Bain Capital Ventures’ partner, Ajay Agarwal, said that Tektonic AI has a “bold vision” for the future of work and that he is excited to support the company as it continues to innovate in the space.

• Study Finds AI Models Hold Opposing Views on Controversial Topics

A recent study has found that AI models can hold opposing views on controversial topics. The study, conducted by researchers at the University of California, Berkeley, analyzed the responses of several popular AI models to a range of contentious issues such as climate change and gun control.

The findings suggest that AI models can exhibit biases and opinions that reflect their training data and algorithms. This raises questions about the objectivity of AI-powered systems and their potential impact on decision-making processes in areas such as politics, journalism, and criminal justice. The study also highlights the need for greater transparency and accountability in the development and deployment of AI technologies. As AI becomes increasingly integrated into various aspects of society, it is essential to ensure that these systems are fair, unbiased, and aligned with human values.

In summary, the study’s findings underscore the complex nature of AI technology and its potential implications for society. It emphasizes the importance of ongoing research and dialogue around the ethical use of AI and the need for rigorous testing and validation of these systems before they are deployed in high-stakes contexts.

• Sirion Acquires Eigen in AI Tool Consolidation Play

In a move to expand its enterprise AI tool offerings, Sirion has acquired Eigen Technologies. The acquisition values Sirion at around $1 billion and consolidates the company’s position as a major player in the AI industry.

Eigen Technologies is known for its expertise in natural language processing (NLP) and machine learning (ML). With this acquisition, Sirion aims to enhance its own NLP capabilities and strengthen its portfolio of enterprise AI tools. The combined entity will offer a comprehensive suite of AI solutions for businesses looking to leverage advanced technologies for process automation, predictive analytics, and customer service.

The consolidation play comes at a time when the demand for AI-powered tools is growing rapidly across industries. By acquiring Eigen Technologies, Sirion is poised to meet this demand and provide its customers with cutting-edge AI solutions that drive efficiency and innovation. The move also underscores the trend of consolidation in the AI industry as companies look to expand their capabilities and stay competitive in an increasingly crowded market.

In summary, Sirion’s acquisition of Eigen Technologies is a strategic move aimed at strengthening its position in the enterprise AI tool market. With the combined expertise and offerings, Sirion is well-positioned to meet the growing demand for AI-powered solutions across industries.

• Meta Enhances WhatsApp Business App with AI-Powered Tools for Improved Customer Service

A new update from Meta brings AI-powered features to WhatsApp Business app. The features include a chatbot that can answer frequently asked questions, an automated message system for away messages and welcome greetings, and a tool to create custom stickers. These features aim to enhance customer service and engagement on the platform.

The AI-powered chatbot can be used by businesses to automate responses to common queries, freeing up time for employees to focus on more complex tasks. The automated messaging system allows businesses to set up away messages and welcome greetings, providing customers with timely information even when the business is closed or busy. Additionally, the custom sticker tool enables businesses to create unique stickers that align with their brand identity, enhancing customer engagement and interaction.

Overall, these new features are designed to help small and medium-sized businesses improve their efficiency and effectiveness on WhatsApp Business app. By leveraging AI technology, Meta aims to empower businesses to deliver better customer service and build stronger relationships with their customers.

• Greptile Raises $4M to Build an AI Code Base Expert

Greptile, a startup that is building an AI-powered code base expert, has raised $4 million in seed funding. The company plans to use the funds to expand its engineering team and accelerate product development.

Greptile’s platform uses natural language processing (NLP) and machine learning algorithms to analyze codebases and provide developers with insights and recommendations. The goal is to help developers write better code faster by providing them with relevant information and suggestions in real-time as they work. The company’s technology is designed to be particularly useful for large enterprises that have complex codebases and limited resources for manual code review. By leveraging AI, Greptile aims to democratize access to high-quality code reviews and make it easier for organizations of all sizes to improve their software development processes.

Overall, Greptile’s funding round highlights the growing interest in using AI to enhance developer productivity and code quality. As software continues to play an increasingly critical role across industries, solutions like Greptile’s have the potential to drive significant value for businesses looking to stay competitive in today’s digital economy.

• Mistral Simplifies Model Customization with New Fine-Tuning Tools

In a move to enhance the customization process of its AI models, Mistral has unveiled new fine-tuning tools. These tools are designed to simplify and accelerate the process of adapting Mistral’s pre-trained models for specific use cases.

The new tools offer an intuitive user interface that allows users to easily upload their data, select a model, and initiate the fine-tuning process with just a few clicks. The tools also provide real-time feedback on the performance of the customized model, allowing users to make adjustments as needed. Mistral’s fine-tuning tools are compatible with various types of data such as text, images, and video, making them versatile for different applications. Additionally, Mistral has optimized the tools for use on its cloud platform, ensuring fast processing times even for large datasets.

Overall, Mistral’s new fine-tuning tools promise to make model customization more accessible and efficient, paving the way for a wider range of organizations to leverage AI in their operations.

• Kneron Enhances Edge AI with Advanced NPU and Edge GPT Server Updates

In a significant development, Kneron has unveiled its latest advancements in edge artificial intelligence (AI) technology. The company announced the release of an updated neural processing unit (NPU), which is designed to accelerate AI workloads on edge devices. This new hardware will enable faster and more efficient processing of complex AI tasks at the network’s edge.

In addition, Kneron introduced its Edge GPT Server, a powerful tool that allows organizations to deploy large language models (LLMs) at the edge for natural language processing (NLP) applications. The server is optimized for running OpenAI’s GPT-3.5 and other LLMs, providing enhanced performance and reduced latency for NLP tasks. These advancements are expected to have a significant impact on various industries, including automotive, smart home, and industrial automation, where real-time AI capabilities are crucial. Kneron’s innovations will help drive the development of more intelligent and responsive edge devices, paving the way for advanced applications such as autonomous vehicles, smart assistants, and predictive maintenance.

Overall, Kneron’s updated NPU and Edge GPT Server represent a substantial step forward in edge AI technology, offering improved performance, efficiency, and versatility. As organizations increasingly rely on AI to gain a competitive advantage, these advancements will play a critical role in shaping the future of intelligent edge computing.

Bogdan Iancu is a seasoned entrepreneur and strategic leader with over 25 years of experience in diverse industrial and commercial fields. His passion for AI, Machine Learning, and Generative AI is underpinned by a deep understanding of advanced calculus, enabling him to leverage these technologies to drive innovation and growth. As a Non-Executive Director, Bogdan brings a wealth of experience and a unique perspective to the boardroom, contributing to robust strategic decisions. With a proven track record of assisting clients worldwide, Bogdan is committed to harnessing the power of AI to transform businesses and create sustainable growth in the digital age.