industries building-and-industrial 
Analytics Vidhya
APRIL 11, 2024
Introduction Machine learning is a rapidly growing field that is transforming industries across sectors. Many tools and libraries have emerged as machine learning applications expand to help developers build and deploy machine learning models.
Analytics Vidhya
FEBRUARY 28, 2024
Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.
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Analytics Vidhya
APRIL 2, 2024
Introduction Artificial Intelligence has many use cases, and some of the best ones are in the Health Industry. One very useful application that can be built is the Calorie Advisor […] The post How to Build a Calorie Advisor App Using GenAI? It can really help people maintain a healthier life.
Analytics Vidhya
MARCH 1, 2024
Major players like Zomato and Swiggy dominate this industry. One solution […] The post Building a Deep Learning-based Food Quality Detector appeared first on Analytics Vidhya. Introduction In today’s fast-paced world of local food delivery, ensuring customer satisfaction is key for companies.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. Actionable strategies to strengthen and build resilient product and engineering organizations. It emphasizes engineers’ efficiency and satisfaction during the product development process.
Analytics Vidhya
JANUARY 23, 2024
In a departure from industry norms, Altman aims to build a […] The post OpenAI’s Sam Altman Aims to Revolutionize the AI Chip Manufacturing Industry appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 11, 2023
Analytics Vidhya’s ‘Leading With Data’ is a series of interviews where industry leaders share their experiences, career journeys, interesting projects, and more. In the 5th episode of the series, we are joined by a very special guest – Mr. Srikanth Valamakanni.
Speaker: William Hord, Senior VP of Risk & Professional Services
Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. When building your ERM program foundation, you need to answer questions like: Do we have robust board and management support? Register today! July 20th, 2023 at 9:30am PDT, 12:30pm EDT, 5:30pm BST
Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC
How do we build this skill in a way that makes us better communicators and influencers within our organization and industry? How do we build this skill in a way that makes us better communicators and influencers within our organization and industry?
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What are some of the most common use cases for mathematical optimization across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains? Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics.
Advertiser: Data Robot
AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems. Download the report to gain insights including: How to watch for bias in AI.
Speaker: Lynnette Khalfani-Cox, The Money Coach®
Niche markets represent a huge opportunity for the financial services industry in America. Lynnette Khalfani-Cox, The Money Coach®, will answer these questions and more – giving you insights into the consumer mindset along with proven strategies for nurturing trust and client- building in underserved markets.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.
Speaker: Bruce Armstrong Taylor, Co-Founder & Managing Director of SmartNations Foundation, Jimmy Jia, Venture Partner at Pi Labs, Fabienne Durand, Senior Advisor to the SmartNations Foundation, & Roger Strukhoff, Executive Director of the Tau Institute
Industry 4.0 has a massively cumulative impact on dematerialization (in all forms) and resultant decarbonization (both from emissions and that embodied in materials, building, and products) throughout the economy. Much more evidence all around us. How fast and at what scale can the Linear Economy curve be bent toward the Circular?
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