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Google Cloud has launched two generative AI models on its Vertex AI platform, Veo and Imagen 3, amid reports of surging revenue growth among enterprises leveraging the technology. ” Knowledge sharing platform Quora has developed Poe , a platform that enables users to interact with generative AI models. .”
Midjourney has announced the alpha release of its V7 image generation model for testing by the AI community. This personalisation can be toggled on or off at any time and is intended to significantly improve the AI’s ability to interpret user desires and aesthetic preferences. V7 is an amazing model.
In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a proposed policy banning cellphones in schools. The situation arose when Alaska’s Education Commissioner, Deena Bishop, used generative AI to draft the cellphone policy. Alaska’s case is not one of a kind.
Research conducted by Vlerick Business School has discovered that in the area of AI financial planning, the technology consistently outperforms humans when allocating budgets with strategic guidelines in place. According to the research, AI is superior when performing tactical budgeting processes like cost management and resource allocation.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
Alibaba Cloud is overhauling its AI partner ecosystem, unveiling the “Partner Rainforest Plan” during its annual Partner Summit 2024. Our global partners are not just participants, they are the architects of a new digital landscape in the AI era.
A critical part of OpenAI’s safeguarding process is “red teaming” — a structured methodology using both human and AI participants to explore potential risks and vulnerabilities in new systems. “We are optimistic that we can use more powerful AI to scale the discovery of model mistakes,” OpenAI stated.
Japan is on a mission to become a global AI powerhouse, and it’s starting with some impressive advances in AI-driven language models. Consulting giants like Accenture, Deloitte, EY Japan, FPT, Kyndryl, and TCS Japan are partnering with NVIDIA to create AI innovation hubs across the country. billion in value this year; a 31.2%
Samsung has revealed Gauss2, the second-generation proprietary AI model set to significantly enhance user experiences. Paul Kyungwhoon Cheun, President and CTO of the Device eXperience (DX) Division, commented: “Samsung Electronics is committed to developing cutting-edge software, including AI and data analytics, to enhance user experiences.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .
AI continues to transform industries, and having the right skills can make a significant difference to your career. Professionals wishing to get into this evolving field can take advantage of a variety of specialised courses that teach how to use AI in business, creativity, and data analysis.
A new study from the AI Disclosures Project has raised questions about the data OpenAI uses to train its large language models (LLMs). The project’s working paper highlights the lack of disclosure in AI, drawing parallels with financial disclosure standards and their role in fostering robust securities markets.
Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices.
is being hailed by Google DeepMind as its “most intelligent AI model” to date. DeepMind has been exploring methods to enhance AI’s intelligence and reasoning capabilities for some time, employing techniques such as reinforcement learning and chain-of-thought prompting. Pro in Google AI Studio. Gemini 2.5
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
The Medicines and Healthcare products Regulatory Agency ( MHRA ) has announced the selection of five healthcare technologies for its ‘AI Airlock’ scheme. AI Airlock aims to refine the process of regulating AI-driven medical devices and help fast-track their safe introduction to the UK’s National Health Service (NHS) and patients in need.
A survey by CloudNine PR shows that 83% of UK adults are aware of generative AI tools, and 45% of those familiar with them want companies to be transparent about the environmental costs associated with the technologies. The legislation aims to standardise how AI companies measure and report carbon emissions. The numbers are staggering.
Governments are scrambling to establish regulations to govern AI, citing numerous concerns over data privacy, bias, safety, and more. The boom of the last few years appears to have sparked a push to establish regulatory frameworks for AI governance, explains veistys. Meanwhile, other regions have opted for more piecemeal approaches.
OpenAI is awarding a $1 million grant to a Duke University research team to look at how AI could predict human moral judgments. Duke Universitys Moral Attitudes and Decisions Lab (MADLAB), led by ethics professor Walter Sinnott-Armstrong and co-investigator Jana Schaich Borg, is in charge of the Making Moral AI project.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
A report by Publicis Sapient sheds light on the disparities between the C-suite and practitioners, dubbed the “V-suite,” in their perceptions and adoption of generative AI. The report reveals a stark contrast in how the C-suite and V-suite view the potential of generative AI.
OpenAI is facing diminishing returns with its latest AI model while navigating the pressures of recent investments. According to The Information , OpenAI’s next AI model – codenamed Orion – is delivering smaller performance gains compared to its predecessors.
The UK is establishing the Laboratory for AI Security Research (LASR) to help protect Britain and its allies against emerging threats in what officials describe as an “AI arms race.” million – aims to bring together experts from industry, academia, and government to assess AI’s impact on national security.
LOral will leverage IBM’s generative AI (GenAI) technology to create innovative and sustainable cosmetic products. The partnership will involve developing a bespoke AI foundation model to supercharge LOrals Research & Innovation (R&I) teams in creating eco-friendly formulations using renewable raw materials.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
Theres a new contender in the AI space thats making waves: QwQ-32B-Preview. This so-called reasoning AI model is being compared to OpenAI o1, and its one of the few you can download under a permissive license. For context, AIME uses other AI models to assess performance, while MATH is a collection of word problems.
Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.
Their combined spending on AI is projected to exceed a jaw-dropping $240 billion. Because AI isn’t just the future—it’s the present, and the demand for AI-powered tools and infrastructure has never been higher. AI’s potential is immense, and companies are making sure they’re positioned to reap the rewards.
This work aims to demystify how these sophisticated AI systems process information, learn strategies, and ultimately generate human-like text. ” Gaining a deeper understanding of this “AI biology” is paramount for ensuring the reliability, safety, and trustworthiness of these increasingly powerful technologies.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment. Save your seat today!
The race for AI video training has taken an unexpected turn. In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms. The economics of the new market are fascinating.
Next week marks the beginning of a new era for AI regulations as the first obligations of the EU AI Act take effect. While the full compliance requirements won’t come into force until mid-2025, the initial phase of the EU AI Act begins February 2nd and includes significant prohibitions on specific AI applications.
Salesforce has unveiled the findings of its UK AI Readiness Index , signalling the nation is in a position to spearhead the next wave of AI innovation, also known as agentic AI. the UK is establishing itself as a hub for large-scale AI projects, driven by a robust innovation culture and pragmatic regulatory approaches.
Business Insider’s “CXO AI Playbook” looks at how firms are utilising AI to tackle challenges, scale operations, and plan for the future. The Playbook looks at stories from various industries to see what problems AI is solving, who’s driving these initiatives, and how it’s reshaping strategies. What problem is it solving?
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.
A global study has unveiled a stark contrast in attitudes towards embracing in-vehicle AI between Eastern and Western markets, with European drivers particularly reluctant. According to the study, while AI is becoming integral to modern vehicles, European consumers remain hesitant about its implementation and value proposition.
a model that represents the next step in Googles ambition to revolutionise AI. model, this major upgrade incorporates enhanced multimodal capabilities, agentic functionality, and innovative user tools designed to push boundaries in AI-driven technology. Comprehensive suite of AI innovations The launch of Gemini 2.0
Baidu has launched its latest foundation AI models, ERNIE 4.5 The model’s tool use includes features like advanced search, document Q&A, image understanding, AI image generation, and webpage reading. is accessible through APIs on Baidu AI Cloud’s Qianfan platform, with competitive pricing structures.
While Ant continues to use Nvidia chips for some of its AI development, one sources said the company is turning increasingly to alternatives from AMD and Chinese chip-makers for its latest models. MoE models divide tasks into smaller data sets handled by separate components, and have gained attention among AI researchers and data scientists.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
OpenAI, the powerhouse behind ChatGPT, is ramping up efforts to dominate the enterprise market with a suite of AI tools tailored for business users. The company recently revealed its plans to introduce a series of enhancements designed to make AI integration seamless for companies of all sizes.
DeepSeek V3-0324 has become the highest-scoring non-reasoning model on the Artificial Analysis Intelligence Index in a landmark achievement for open-source AI. Open-source AI is bringing the heat While proprietary reasoning models like DeepSeek R1 maintain dominance in the broader Intelligence Index, the gap is narrowing.
The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.
NetApp has shed light on the pressing issues faced by organisations globally as they strive to optimise their strategies for AI success. 2025 is shaping up to be a defining year for AI, as organisations transition from experimentation to scaling their AI capabilities, said Gabie Boko, NetApps Chief Marketing Officer.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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