Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

AiThority’s AI Brief of the Week Ending August 23rd: Latest AI Updates and Trends From Around the 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.Qualtrics Announces New Capabilities to Offer a Personalized Healthcare Experience

Qualtrics and Epic are launching new solutions to improve patient and provider experiences by integrating patient feedback directly into Epic’s health records. This allows healthcare providers to act on real-time feedback and address issues quickly. The new tools will help capture patient sentiment and trigger automatic follow-ups to prevent problems from escalating. By embedding this feedback into clinical workflows, providers can enhance care, anticipate patient needs, and make informed improvements. These features will be available for public preview in early 2025.

2.Latest Version of the Appian Platform Transforms Enterprise Data and Process Automation with AI-Driven Innovations

Appian‘s latest platform update enhances enterprise data management and process automation with expanded AI capabilities. New features include AI Copilot for unified, transparent insights, enterprise-wide document searches, and AI-suggested process views. The update also introduces AI-driven case management tools and test-case automation for developers. Certified by HITRUST for security and compliance, these improvements aim to streamline workflows, making data access easier and boosting efficiency. AI Copilot’s natural language capabilities allow users to explore data and make informed decisions more effectively.

3.Gen AI Analytics Provider, Reliant AI, Launches With $11.3 Million in Seed Funding

Reliant AI, launching with $11.3M seed funding co-led by Tola and Inovia Capital, unveils its AI-driven data analytics software, Reliant Tabular. Founded by ex-DeepMind and Google Brain scientists, Reliant AI targets the biopharma sector, aiming to reduce data handling and enhance decision-making. Reliant Tabular automates evidence retrieval and analysis, offering tools for systematic reviews and asset scans. This technology promises significant efficiency improvements in the life sciences industry, enabling faster and more comprehensive data analysis. The new funding will support engineering hires and expansion into Europe and North America.

4.Deloitte Survey: Despite Growing Investment, Data and Risk Hinder Generative AI Scaling

The  Deloitte Consulting LLP AI Institute unveiled the third quarterly edition of its State of Generative AI in the Enterprise report, revealing the current landscape of GenAI adoption and deployment and how organizations are overcoming barriers to create value at scale. “The State of Generative AI in the Enterprise: Now decides Next,” is based on a survey of 2,770 director- to C-suite-level respondents across 14 countries.

Key Findings:

  • Increased GenAI Investment: 67% of organizations are ramping up their investments in Generative AI (GenAI) due to the significant value they’ve realized so far.
  • Challenges Temper Enthusiasm: Despite high expectations, issues with data, scaling, and risks are dampening leadership’s enthusiasm for GenAI.
  • Need to Prove Value: Demonstrating the value of GenAI to executives is crucial, as 54% seek efficiency gains, but only 38% track productivity improvements.
  • Data Management Focus: 75% of organizations are increasing investments in data management to support GenAI, though data issues are hindering some use cases.
  • Risk Management Concerns: Risk-related challenges, including regulatory compliance and trust issues, are major barriers to successful GenAI deployment.

5.BeyondMath Secures $8.5Million to Transform Engineering with AI-Powered Simulation Platform

BeyondMath secured $8.5 million in seed funding led by UP.Partners, with Insight Partners and InMotion Ventures also contributing. This funding will drive BeyondMath’s mission to revolutionize engineering with its AI-driven multiphysics simulation platform, which accelerates engineering iterations 1,000 times faster than current methods. To enhance its platform, BeyondMath adopted the NVIDIA DGX H200 system, enabling advanced AI supercomputing for industrial-scale training. This innovation aims to reduce costs, speed up development, and minimize environmental impact. The investment highlights BeyondMath’s potential to transform engineering practices globally, making processes more efficient and sustainable.

6.Accenture and AWS Collaborate to Help Organizations Scale Adoption of AI Responsibly

Accenture has expanded its strategic collaboration with Amazon Web Services (AWS) to launch the Accenture Responsible Artificial Intelligence (AI) Platform powered by AWS. This platform aims to help organizations rapidly adopt and scale AI with trust and confidence. It offers end-to-end services, including AI governance, risk assessment, generative AI testing, compliance support, and regulation management, all tailored for AWS workloads. The platform integrates responsible AI practices to monitor, test, and ensure compliance, addressing the unique challenges of AI risks like bias and evolving regulations. This initiative builds on Accenture’s experience with over 1,000 generative AI projects and its ongoing collaboration with AWS.

7.boost.ai Launches AI-Powered Virtual Agent on Salesforce AppExchange

boost.ai has launched its AI platform on Salesforce AppExchange, enabling customers to enhance engagement and deliver personalized customer experiences at scale. The platform combines traditional conversational AI with generative technology, achieving a 90% resolution rate across customer interactions. By integrating with Salesforce Data Cloud, boost.ai leverages enterprise data to power AI use cases, providing dynamic and personalized experiences while maintaining a low-risk profile. CEO Jerry Haywood highlighted the platform’s ability to support even highly regulated industries like financial services. Salesforce praised boost.ai for accelerating business transformation by offering scalable, AI-driven customer experiences.

Weekly Roundup: Expert Views on AI Trends

AiThority Interview with Anand Pashupathy, Vice President & General Manager, Security Software & Services Division, Intel

AIThority’s Weekly Voice: From the Expert

Anand Pashupathy, Vice President and General Manager of Intel’s Security Software & Services Division, oversees delivering security software and services that enhance Intel’s silicon security features. With a career at Intel spanning since the 1990s, Anand now leads efforts in confidential computing and AI-driven security. Intel’s recent advancements in Confidential AI focus on safeguarding sensitive data during AI processing, addressing concerns about cloud-based AI operations. By integrating confidential computing, Intel ensures secure AI deployments, protecting data from breaches. Anand emphasizes that as AI adoption grows, securing AI models and algorithms remains crucial. He also highlights the importance of Confidential AI for industries dealing with sensitive data, aiming for it to become a standard feature in AI workloads.

AiThority Interview with Dounia Senawi, Chief Commercial Officer, Deloitte Consulting LLP

Dounia Senawi, Deloitte’s Chief Commercial Officer, emphasizes leveraging AI and machine learning to drive customer-centric transformations. With a career that began in banking, Dounia transitioned to consulting after leading a Salesforce transformation, eventually rising to her current role. At Deloitte, she focuses on building strong alliances with tech leaders like Google Cloud, AWS, and NVIDIA to advance AI innovation. Deloitte uses AI to enhance services, from market research to new product launches, always centering on client needs. AI will remain a key driver of growth, with data-rich organizations leading the way in AI adoption and innovation.

Don’t Miss These Must-Read Articles of the Week

Event Fraud in the AI Era: How to Protect Fans and Businesses

Top Articles You Can’t Miss

As Euro 2024 and the Paris Olympics capture global excitement, AI-driven cyber threats are rising sharply. Booking.com reported a 500-900% increase in travel scams over 18 months, driven by AI-generated fake hotel listings and phishing schemes. Scammers use AI to create convincing fake tickets, QR codes, and streaming sites, exploiting fans and stealing financial data. To combat this, organizations are enhancing security with AI-powered threat detection and biometric authentication. The Paris 2024 Committee and others are partnering with tech firms for robust defenses. Educating users and adopting strong security measures are crucial for protecting against these evolving threats.

Striking the Right Balance: Managing Benefits and Limitations of AI in Project Management

Companies using AI for project management are seeing significant efficiency gains, with 90% of project managers (PMs) reporting a positive ROI. AI tools automate routine tasks and enhance risk management, leading to higher productivity. However, challenges remain, such as ensuring data quality, overcoming employee adoption hurdles, and addressing data privacy concerns. Many PMs face difficulties with AI’s limitations and biases, and only half have clear policies on AI use. To address these issues, business

es should focus on education, establish clear guidelines, and choose vendors with strong data security practices. As AI evolves, it offers promising opportunities for PMs to shift towards strategic roles.

Top AI Insights: Quotes of the Week

“AI is top of mind for many organizations right now – but the ability to secure AI models and algorithms is still a top concern for IT teams”-Anand Pashupathy, Vice President & General Manager, Security Software & Services Division, Intel

“Data is everything – especially when it comes to digital transformation. Robust, clean, and useful data equips organizations to generate greater ROI on their tech investments and digital transformations.”-Dounia Senawi, Chief Commercial Officer, Deloitte Consulting LLP.

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

Comments are closed.