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Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The company compiled the results in its 2023 Data and AI Trends report.
The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.
Introduction In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2023, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers.
Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating.
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.
Introduction The introduction of artificial intelligence (AI) has resulted in ground-breaking advances in several different industries. The emergence of AI speech generators, which can produce realistic, synthesized human voices, is one example of how far AI has come in imitating human conduct.
Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating.
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
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. January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT
Welcome insideBIGDATA AI News Briefs, our podcast channel bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers.
In 2021, researchers at MIT and McKinsey teamed up to ask more than 100 companies how they were using AI in their operations and to learn what separated the highest-performing companies from the rest. They conducted a similar survey in 2023 to see what had changed.
By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 23, 2025 in Artificial Intelligence Image by Author | Ideogram Agentic AI has recently become the hottest topic in AI implementation. If you follow AI information on social media, you are likely to see posts about agentic AI. Let’s get into it.
We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
Generative AI is quickly becoming a top priority for any company’s digital transformation strategy. MosaicML) to help businesses build their own foundation models and generative AI tools. It is hijacking conversations everywhere, from the boardroom to the dining room – we’re even seeing accelerated M&A (ie.
We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.
Artificial Intelligence (AI) is rapidly transforming our world, and 2023 saw some truly groundbreaking AI inventions. Read more about: How AI is helping content creators 4. Learn about AI’s role in education 7. That’s the AI Pin. Remember the trailer for “The Batman”?
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
Introduction Remember how frustrating it was to ask your AI assistant about a recent event and get a blank response? Well, those days are over with the arrival of OpenAI’s GPT-4 Turbo.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
The Stanford Institute for Human-Centered AI’s Global Vibrancy Tool 2024 assesses AI development across 36 countries, ranking the U.S. The index measures various indicators of AI activity, including research output, private investment, and patenting efforts. stands out with substantial investments in AI, reaching $67.2
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
According to a recent The Guardian article, Meta is deleting Facebook and Instagram profiles of AI characters, after user interaction led to viral screenshots and conversations. The AI profiles were initially introduced in September 2023 and mostly removed by summer 2024. Guide: Create a C.ai Featured image credit: Meta
Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
While the mass layoffs experienced in 2023 have steadied somewhat—according to tech layoff tracker Layoffs.fyi , 490 tech companies have made 143,142 workers redundant in 2024 compared to 1,193 tech companies making 264,220 employees redundant in 2023—women are still vastly underrepresented in the sector.
These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Sometimes the accuracy of a statement is measured by its banality, and that certainly seems to be the case here: AI is the new epoch, consuming the mindshare of not just Stratechery but also the companies I cover. Apple devices are better with AI) or disruptive to them (i.e. AI might be better than Search but monetize worse).
AI-powered de-duplication offers an innovative way to scale this work quickly and efficiently, but its success depends on human expertise. At OCLC, we’ve invested resources into a hybrid approach, leveraging AI to process vast amounts of data while ensuring catalogers and OCLC experts remain at the center of decision-making.
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