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CIO
OCTOBER 16, 2023
For example, engineers can use embedding models or similarity analysis to radically simplify data models and get important details more quickly. To get started, developers need to identify the relevant documentation, often in the form of PDFs and app catalogs.
InfoWorld
FEBRUARY 14, 2024
But it can be as difficult to get started with Python as with any other programming language. In this article, we’ll walk through the steps needed to get your “sea legs” with Python. Python makes it easy to develop powerful software for an enormous variety of applications. Every choice you make will matter.
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Netlify
NOVEMBER 15, 2023
Read on and learn how to get started. Netlify and Auth0 by Okta have partnered to support your Identity and Access Management journey.
Xebia
APRIL 14, 2023
The combined world of sustainability and cloud is getting more and more traction. The investments pay off: we get more capabilities to work with and now it’s time to start harvesting. This blog is written to provide some practical tips to get started on Cloud Sustainability. The urgency is also there.
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But don't worry, Logi Analytics' Blueprint to Modernize Analytics will help you define your new solution, plot out how to get there and determine what you'll need in terms of time and resources. Download the eBook to get started today! When it comes to your revenue and customer loyalty, don't be reactive, be proactive.
Xebia
MARCH 1, 2023
Flutter also has a bunch of libraries available, so I knew it would be easy to get started. This was when my problems started. However, learning how maps actually work was a bit more tricky for me. You just need to play around with the widgets to get them to be displayed as you expect in your app.
Let's Grow Leaders
AUGUST 24, 2020
Want to build more innovation into your culture, but don’t know where to start? Today we offer a few quick ways to get started. Start Small. The post How to Get Started Building a More Courageous Culture appeared first on Let's Grow Leaders.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
How do you, as a technology leader, point your team in the right direction, especially given how quickly this is evolving? We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey.
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This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake. How to get started with your evaluation
Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC
Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams? Tactics for getting more accurate estimates, but why accuracy is often not the right yardstick.
Speaker: Data Robot
In this session, we will debate whether and how these same lessons can help organizations get to value more quickly with generative AI. 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
Speaker: Nick Noreña, Innovation Coach and Advisor, Kromatic
How do you get started? How can you ensure your experiments are well-designed? Join Nick Noreña, educator, entrepreneur, and currently an Innovation Coach at Kromatic, as he walks us through how we can figure out the right experiments to run for any product or service, and in organizations of all sizes.
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