AiThority’s Weekly AI Update For the Week Ending 19th July: What’s New with the Tech Giants

Stay updated with the latest in AI with AiThority’s  weekly insights. Let’s dive into the world of AI, tech, and innovation as we bring you the latest and most viral stories buzzing across the digital and AI arena, top thought leadership insights, and more.

From breakthroughs in AI and Machine learning to advancements across the tech domain, our curation keeps you informed and updated. Whether it’s a glimpse into the future of AI or a spotlight on ground-breaking research, these highlights will give you the overall tech industry updates.

Come, join us as we explore the frontiers of AI technology, one headline at a time.

HP Takes AI Leadership to the Next Level

HP has unveiled two major innovations: the highest-performance AI PC and a trust framework for AI model development. These advancements enhance AI experiences across HP’s products and partner networks. The new AI tools support users like corporate workers, freelancers, and students by offering real-time translation, personal coaching, and video creation capabilities. HP’s Z by HP AI Studio now includes Galileo for better AI model trust and management. The new HP OmniBook Ultra and OmniStudio X PCs provide powerful AI capabilities, long battery life, and sustainable design. HP is also expanding its AI software ecosystem with collaborations for improved productivity and creativity.

New EY Research Finds AI Investment Is Surging, With Senior Leaders Seeing More Positive ROI

According to Ernst & Young LLP’s new AI Pulse Survey, businesses see returns on their AI investments and plan to increase spending. The survey of 500 US senior leaders reveals that the number of companies investing over $10 million in AI will nearly double next year. Companies committing 5% or more of their budgets to AI are experiencing higher positive returns in productivity, cybersecurity, and innovation. However, many leaders are not addressing crucial elements like data infrastructure, ethical AI use, and talent development, which are essential for maximizing AI’s potential. Leaders need a comprehensive strategy to fully integrate AI into their operations.

Fujitsu and Cohere launch strategic partnership and joint development to provide generative AI for enterprises

Fujitsu and Cohere Inc. have partnered strategically to develop advanced Japanese language large language models (LLMs). Fujitsu will invest significantly and become the exclusive global provider of these AI services, offering them through its Fujitsu Data Intelligence PaaS and Fujitsu Uvance platforms. The partnership will focus on creating Takane (tentative name), a Japanese language model based on Cohere’s Command R+ LLM, which will be available through Fujitsu Kozuchi starting September 2024. Takane will be tailored for high-security private environments like financial institutions and government agencies, aiming to enhance productivity and efficiency.

Mendel AI Joins NVIDIA Inception Program to Accelerate AI Innovations in Life Sciences

Mendel AI has joined NVIDIA Inception, gaining access to NVIDIA’s advanced technology and expertise. This partnership will enhance Mendel’s Hypercube AI solution by leveraging NVIDIA’s NIM inference microservices and AI tools. Mendel aims to improve healthcare AI capabilities by processing complex medical data more effectively. NVIDIA Inception will support Mendel with training credits, discounted hardware, and technical assistance. Mendel AI, based in San Jose and backed by investors like Oak HC/FT and DCM, focuses on scalable and explainable AI for clinical data workflows.

Exa Raises $22MM to Build the Search Engine for AI

Exa, an AI research lab focused on advancing search technology, has secured $22M in funding led by Lightspeed Venture Partners, with contributions from NVentures and Y Combinator. This investment will propel Exa’s goal of creating a search engine designed specifically for AI, addressing the limitations of current human-centric search engines like Google. Exa’s technology converts web pages into embeddings, enabling more precise and relevant search results by integrating large language models (LLMs). Exa aims to enhance AI applications with more accurate world knowledge retrieval, supporting a range of uses from academic research to startup discovery.

NTT DATA Unveils Ultralight Edge AI Platform

NTT DATA has launched its Edge AI platform, designed to enhance IT/OT convergence by processing AI at the edge. This platform unifies diverse IoT devices and systems, enabling real-time data analysis, improved operational efficiency, and secure AI deployment. Unlike traditional search engines optimized for human use, Edge AI uses compact, task-specific AI models to handle large data sets and deliver precise, real-time insights. Targeting industries like manufacturing and energy, the platform supports applications such as predictive maintenance and energy optimization. NTT DATA’s managed service approach simplifies AI integration and provides a comprehensive view of connected devices, aiding in security and efficiency.

Weekly Expert Perspective on Emerging AI Trends

AiThority Interview with Christophe Van de Weyer, CEO of Telesign

Dive into the Highlights of the Interview

Christophe, CEO of Telesign, has a rich background in telecoms and tech, having held senior roles at Proximus Group and Bain & Company. He joined Telesign in September 2023, excited to lead its growth amid increasing digital fraud. Telesign is leveraging AI to combat fraud and improve digital identity verification. Key strategies include expanding into APAC and LATAM markets, using AI to detect threats, and integrating multiple verification channels. Christophe emphasizes the importance of robust cybersecurity funding and consistent multi-factor authentication to prevent breaches. Telesign aims to stay ahead by innovating with AI and partnering with global digital platforms.

AiThority Interview with Luca Morena, CEO of Nextatlas

My tech background and philosophical studies inspired me to co-found Nextatlas. I saw how AI could efficiently analyze data and predict trends, combining my interests in human behavior and technology. Nextatlas uses proprietary algorithms and social listening tools to identify early adopters and forecast trends accurately. We’re developing new AI tools, like the Generate Suite, to streamline workflows and boost innovation. Our AI services have significantly improved clients’ marketing strategies and product development. I believe AI will increasingly drive precise targeting and decision-making in marketing, blending with human creativity for deeper insights and agility.

Must-Read Recommendations

Unlocking Hyperautomation: What It Takes to Guard Quality with AI

Article Brief:

Recent advancements in neural machine translation (MT) and large language models (LLMs) have significantly improved translation accuracy and fluency. However, using MT alone can lead to errors, necessitating costly human post-editing or risking inaccuracies. To address these challenges, automating quality performance scoring is crucial. Effective systems should evaluate translation quality at both segment and document levels and operate across various translation methods. Automated linguistic quality assessments (LQA) using LLMs are becoming more feasible, offering speed and cost benefits over traditional methods. Although current limitations in speed and cost affect scalability, future innovations will likely enhance automation and precision in translation workflows.

Three Ways Generative AI Can Accelerate Knowledge Transfer Across An Organization

Enterprises today have vast amounts of unstructured data, like documents, images, and social media, which are often stored in disconnected silos. This fragmentation can hinder employees, especially new hires, who may spend up to 3.6 hours daily searching for information. Generative AI (GenAI) can streamline and integrate this data, enhancing collaboration and productivity. It can improve onboarding by providing new employees with seamless access to essential knowledge and help bridge skills gaps by digitizing expert knowledge. GenAI also ensures employees have timely, accurate insights for better decision-making, thus boosting overall efficiency and growth.

Generative AI and Modern Advertising: Things to Keep in Mind

Generative AI is reshaping marketing by improving how brands connect with customers, create content, and develop strategies. It offers vast potential, making content creation faster and more personalized. However, it requires careful management to avoid risks like security breaches and loss of brand authenticity. Advertisers should use AI to generate ideas but ensure they verify and refine them to maintain originality and accuracy. Proper oversight and compliance with regulations are crucial. Combining human creativity with AI tools can enhance marketing efforts, making upskilling and responsible use essential for leveraging this technology effectively.

This Week’s Best AI Quotes

The collaboration between human creativity and AI at Nextatlas is the cornerstone of our approach. While AI excels at the quantitative analysis of vast dataset- Luca Morena, CEO of Nextatlas

 

The European Data Protection Board’s report on OpenAI’s compliance with GDPR highlights the importance of data protection in AI development. –Dan Twing, President and Principal Analyst for Intelligent Automation at Enterprise Management Associates

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