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. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.
Cash Treasury Trading in the Age of AI
In this contributed article, Shankar Narayanan, Head of Trading Research, Quantitative Brokers, discusses how In the era of artificial intelligence, cash treasury trading presents a unique opportunity to integrate new technologies, enhance trading methodologies and meet the growing demands of a rapidly evolving market.
Regulate the Use Cases—Not AI Itself
In this contributed article, CF Su, VP of ML, Hyperscience, agrees that regulation is needed, but as opposed to sweeping oversight, he supports regulating specific uses of AI, such as licensing the business applications of AI models rather than requiring licenses for creating them. This targeted, tactical government oversight will close the trust gap between the public and AI, which is his #1 concern currently facing the technology’s adoption.
New FeatureByte Copilot Automatically Ideates Use-Case Specific Features for Data Scientists
FeatureByte, an AI startup formed by a team of data science experts, announced FeatureByte Copilot, an automated, intelligent feature ideation solution that marks a new era in enterprise AI. This new product, driven by data semantics and real-world relevance, eliminates a major headache for data science teams – preparing and deploying AI data.
insideBIGDATA AI News Briefs – 9/8/2023
Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art.
insideBIGDATA AI News Briefs – 8/31/2023
Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art. Enjoy!
LinkedIn Releases State of AI @ Work Report
LinkedIn’s Economic Graph Research & Insights (EGRI) team released The Future of Work Report: AI at Work, a new quarterly report featuring current insights on the state of AI and the workforce, as well as analysis on how AI may impact how we work moving forward. Using LinkedIn’s powerful data infrastructure, the team is able to synthesize billions of data points from the company’s Knowledge Graph to uncover key economic trends that inform marquee reports such as this one.
Survey: Over Half of Senior AI Professionals See at Least 2x ROI on AI Initiatives
Dataiku, the platform for Everyday AI, together with Databricks, the data and AI company, revealed survey findings that shed light on AI’s transformative impact on businesses globally. The findings confirm that AI, including Generative AI, is now experiencing an impactful level of business results, matching its rapid rate of adoption.
The AI Gold Rush is on, But We’re Running Out of Shovels
In this contributed article, Tony Pialis, co-founder and CEO of Alphawave Semi, believes that while AI is already revolutionizing every facet of our lives, data infrastructure is still woefully behind in supporting next-gen applications, and it’s time to truly invest in solutions — from custom silicon to connectivity — that can optimize the performance and energy efficiency that AI requires.
Introducing Kyligence Copilot: The AI Copilot for Data to Excel Your KPIs
Kyligence Copilot is an AI Copilot for data that is built on the foundation of the Kyligence Zen metrics platform. It leverages the power of a large language model powered by Azure OpenAI, offering users the ability to search for metrics, conduct in-depth analysis, gain valuable insights, and enable the automatic creation of dashboards using intuitive, natural language conversations centered around business metrics. This seamless integration significantly reduces business users’ barriers to leveraging data, boosting their overall work efficiency.