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AiThority’s Weekly AI Roundup for the Week Ending August 9th: Top Headlines from the AI World

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.

Explore the frontiers of AI technology, one headline at a time.

1.Deloitte Study: C-level Leaders Prioritize Ethical Decision-Making to Guide the Development and Use of AI

Deloitte‘s study on ethical AI use shows that 89% of surveyed executives believe their organizations’ ethical frameworks support technological innovation. C-level leaders are focusing on governance to ensure responsible AI development. The survey of 100 executives found that 77% feel their workforce can make ethical AI decisions, but only 24% let them do so independently. Ethical AI training is conducted in 76% of organizations, with review committees and risk management frameworks also in place. Organizations prioritize balancing innovation and regulation, with 62% considering this a top priority. AI is expected to positively impact supply chains, employee retention, and brand reputation.

2.KNIME Secures Investment to Accelerate Enterprise AI Governance and ModelOps

KNIME, an open-source data science and AI company, has secured an additional $30 million from its investor, Invus, totaling $50 million in funding. This investment will enhance KNIME’s enterprise-grade AI governance and ModelOps capabilities, keeping the company at the forefront of innovation. KNIME’s platform, which serves nearly 400 customers and a user base of nearly half a million people, is popular across industries like healthcare and automotive. With ISO 27001 certification, KNIME ensures high data security standards. The company’s new developments include a cloud-ready platform and a SaaS offering for small businesses, boosting automation and collaboration.

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3.Genesys Sustainability Report Reveals Over 10 Percent Yearly Organic Emissions Reduction

Genesys, a leader in AI-powered cloud solutions, released its Fiscal Year 2024 Sustainability Report, showcasing its commitment to sustainability and social impact. The company aims for carbon neutrality by 2030 and net-zero emissions by 2040, achieving a 10% reduction in emissions in FY24. Genesys Cloud’s operations are now carbon neutral, supported by AWS and Rubicon Carbon. The company has also advanced its AI ethics by establishing guidelines and partnering with the University of Galway for bias research. Genesys promotes diversity and inclusion, achieving over 30% female workforce representation and 35% diverse hires. Their charitable efforts include a 50% d******* for nonprofits and supporting over 750 organizations, logging 4,700 volunteer hours, and donating $150,000.

4.S&P Global and Accenture Partner to Enable Customers and Employees to Harness the Full Potential of Gen AI

S&P Global and Accenture have announced a strategic partnership to advance generative AI(gen AI) across the financial services sector. This collaboration aims to equip S&P Global’s 35,000 employees with the skills to utilize gen AI effectively, supported by a comprehensive learning program launching in August. The companies will also focus on enhancing AI development and benchmarking within the industry. Accenture will offer its Foundation Model Services and gen AI “switchboard” to help financial institutions customize AI models. Meanwhile, S&P Global will provide AI Benchmarks to assess model performance. This partnership aims to foster responsible AI use and drive innovation in banking, insurance, and capital markets.

5.Trend Micro Strengthens AI Deployments for Enterprises and Governments with NVIDIA AI Enterprise

Trend Micro has launched new AI solutionswithin its Vision One™ Sovereign Private Cloud, powered by NVIDIA’s AI Enterprise software platform. This initiative aims to help enterprises and governments securely harness AI while maintaining business resilience. The new tools include NVIDIA NIM microservices for AI integration and enhanced security, and the NVIDIA Morpheus cybersecurity framework for threat detection and data protection. Trend Micro’s solutions are designed to meet stringent data sovereignty and privacy requirements, supporting various environments, including cloud, on-premises, and AI data centers. This collaboration with NVIDIA addresses both AI security and the need for effective AI deployment strategies.

6.Next Generation RF + AI Edge Products Powered by NVIDIA

Deepwave Digital has introduced three new products to its Artificial IntelligenceRadio Transceiver (AIR-T) Embedded Product Family, all featuring NVIDIA Orin NX GPUs. These next-generation RF and AI edge computing solutions are designed for advanced RF applications like navigation and are housed in 1U rack-mountable enclosures. The new offerings aim to enhance performance while balancing cost and usability, reflecting Deepwave’s commitment to integrating AI at the edge to minimize network bandwidth and latency. The company, based in Philadelphia, focuses on combining RF, AI, and wireless systems to advance edge computing technology.

Weekly Expert Perspective on Emerging AI Trends

AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

Dive into the Highlights of the Interview

Seema Verma, Oracle’s EVP and GM, discusses her transition from CMS to Oracle, highlighting their efforts to integrate AI in healthcare. She emphasizes Oracle’s role in improving efficiency, security, and patient care using autonomous databases and AI-driven solutions. Oracle’s innovations, such as the Health Data Intelligenceand Clinical Digital Assistant, aim to enhance data interoperability and streamline healthcare processes. Partnerships with firms like NetHealth and Imagine, as well as collaborations with NVIDIA and Cohere, showcase Oracle’s commitment to advancing healthcare technology and research.

AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

Tech Mahindra’s Makers Lab drives innovation with impactful solutions like Project Indus, an AI-powered enterprise platform enhancing efficiency and decision-making. Recent tools include Bharat Markup Language for native coding and Entellio, an advanced AI chatbot. Makers Lab also develops solutions such as Atmanirbhar Krishi for farmers and Panchang Intelligence for rainfall prediction. Addressing ethical challenges, they focus on quantum-safe cryptography and AI fairness. They explore trends in GenAI, quantum computing, and neuromorphic engineering, positioning themselves as leaders in tech advancements while promoting continuous learning and collaboration within their team.

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Harnessing the Power of Generative Pre-training: How LLMs and GPT Enhance Compliance Prediction

Must-catch Staff Article

In today’s data-driven world, managing vast amounts of information is crucial for organizational success. Traditional methods often fall short, leading to feelings of being overwhelmed, as 78% of organizations report. Large Language Models (LLMs) and Generative Pre-training models (GPT) can help by recognizing patterns in data and improving compliance prediction. GPTs, trained on extensive text data, enhance pattern recognition, identify compliance risks, and generate tailored training materials. When combined with LLMs, GPTs provide broader context and predictive insights, enabling organizations to proactively address compliance challenges, optimize resource allocation, and enhance operational efficiency. As AI evolves, these technologies will continue to refine compliance management strategies.

How AI Is Making Healthcare More Accessible & Equitable

AI is revolutionizing healthcare by improving disease detection, diagnostic accuracy, and treatment efficiency. In particular, AI tools can enhance early detection of diseases like lung cancer, which has a high mortality rate due to late diagnosis. These tools analyze medical imaging to detect early signs that might be missed by radiologists, leading to earlier and more successful treatments. AI is also transforming the management of diseases like tuberculosis and strokes by speeding up diagnosis and treatment, especially in underserved areas. Moreover, AI’s cloud-based tools democratize access to advanced care, ensuring quality healthcare is available regardless of location. To fully realize AI’s potential, collaboration among developers, clinicians, and policymakers is essential, focusing on safe, equitable deployment and augmenting—not replacing—human expertise in care.

AI and IoT in Telecommunications: A Perfect Synergy

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming telecommunications, driving significant market growth. AI in telecom is set to grow from $1.2 billion in 2021 to $38.8 billion by 2031. IoT telecom services will rise from $17.3 billion in 2022 to $191.3 billion by 2030. This technology combination enhances network management, data analytics, and customer experiencewhile facing challenges like data privacy, integration complexity, and cybersecurity.The fusion of AI and IoT is crucial for telecom companies to stay competitive and innovate in a rapidly evolving digital landscape.

This Week’s Insightful AI Quotes

“We’re embedding AI across all of these applications. This provides hospitals and life science companies with more intelligence and helps automate entire processes.”-Seema Verma, EVP and GM, Oracle Health and Life Sciences

“GenAI is fundamentally transforming the workplace landscape, significantly enhancing operational effectiveness and employee productivity. “-Kunal Purohit, President – Next Gen Services, Tech Mahindra

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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