projects 
Analytics Vidhya
MARCH 21, 2024
In this python tutorial, we’ll cover everything from the basics to advanced topics, as well as important libraries and practical projects in Python. Before […] The post Python Tutorial | Concepts, Resources and Projects appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 17, 2024
Google’s ground-breaking Project Green Light employs artificial intelligence (AI) to alleviate the traffic in Bengaluru. This article investigates how Project Green Light improves traffic flow, lowers emissions, and facilitates smoother commuting. What is Project Green Light?
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Analytics Vidhya
AUGUST 29, 2023
In a rapidly evolving technological panorama, the emergence of generative AI projects has redefined how we interact with, create, and experience content. These projects harness the power of artificial intelligence to replicate human creativity and productiveness, spanning from text chatbots to video generators.
Analytics Vidhya
SEPTEMBER 23, 2023
This article will explore five exciting data science projects with step-by-step solutions.
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It can be confusing to determine which features are most important for your project. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! Are you trying to decide which entity resolution capabilities you need? And sometimes key features are overlooked.
Analytics Vidhya
APRIL 1, 2024
This ambitious project marked to be a significant leap in AI infrastructure and capabilities, is estimated to cost $100 billion. Also Read: World’s Most Powerful Supercomputer […] The post Here’s All About Microsoft and OpenAI’s Ambitious $100 Billion AI Supercomputer Project appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 9, 2023
While GitHub has long been the trusted companion for code management, it’s time to explore the vast landscape of alternative platforms designed specifically for the unique needs of data science projects.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development!
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Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.
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Inside you will learn: How embedded analytics has become essential to business applications When to buy an embedded analytics solution and when to build one How to go-to-market, from pricing and packaging to external promotion How to build a business case and sell the project internally The future of embedded analytics …plus so much more.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Anticipated future use cases as we project into 2024 and beyond. Examine real world use cases, both internal and external, where data analytics is applied, and understand its evolution with the introduction of Gen AI.
Speaker: Data Robot
You'll learn more about biggest dos and don’ts from our predictive experiences: How to qualify first projects Which problems to start with When to deploy AI In this session, we will debate whether and how these same lessons can help organizations get to value more quickly with generative AI.
Advertiser: Data Robot
These risks undermine the underlying trust in AI and affect your organization’s ability to deliver successful AI projects, unhindered by potential ethical and reputational consequences. Are you ready to deliver fair, unbiased, and trustworthy AI?
Advertiser: Data Robot
Trusted AI and how vital it is to your AI projects. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization. The importance of governance in ensuring consistency in the modeling process.
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