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10 AI strategy questions every CIO must answer

CIO Business Intelligence

To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. How does our AI strategy support our business objectives, and how do we measure its value?

Strategy 141
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Performance Testing ML Serving APIs With Locust

Analytics Vidhya

ArticleVideo Book “Just as athletes can’t win without a sophisticated mixture of strategy, form, attitude, tactics, and speed, performance engineering requires a good collection. The post Performance Testing ML Serving APIs With Locust appeared first on Analytics Vidhya.

Testing 280
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Mastering Kaggle Competitions: Strategies, Techniques, and Insights for Success

Analytics Vidhya

Introduction In the world of data science, Kaggle has become a vibrant arena where aspiring analysts and seasoned professionals alike come to test their skills and push the boundaries of innovation.

Strategy 265
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? Test early and often. Test and refine the chatbot. Expect continuous improvement.

Strategy 290
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Put Your Data to Work: The Complete Playbook

They rely on data to power products, business insights, and marketing strategy. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

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Data Observability and Data Quality Testing Certification Series

DataKitchen

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. Register for free today and take the first step towards mastering data observability and quality testing!

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

CRAWL: Design a robust cloud strategy and approach modernization with the right mindset Modern businesses must be extremely agile in their ability to respond quickly to rapidly changing markets, events, subscriptions-based economy and excellent experience demanding customers to grow and sustain in the ever-ruthless competitive world of consumerism.

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Bridging the Online and Offline: How to Apply Product Thinking to Expanding Your eCommerce Business

Speaker: John Cutler, Product Evangelist and Coach at Amplitude

Even brick and mortar businesses are integrating more digital approaches to CX -- testing out loyalty programs and subscription-based models. In this session, you will learn: How to shift your ecommerce strategy to encompass a more product-based ideology. How product data can optimize your subscription and loyalty models.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

Focusing on the right amount and kinds of tests in your pipelines. How these strategies can be applied in different size engineering organizations. Adopting new strategies incrementally. How to choose what technologies/processes to adopt given the diverse and rapidly changing landscape.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Discover how the AIMMS IDE allows you to analyze, build, and test a model.