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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 289
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Different Software Testing Strategies When Creating AI Applications

Smart Data Collective

It requires extensive testing to ensure that it works appropriately. Testing is Essential for Companies Creating AI Software Applications. Testing is an integral part of software development. They can get worse at performing certain tasks if the machine learning algorithms are not tested properly. Ad Hoc Testing.

Testing 111
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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 271
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How to build a successful disaster recovery strategy

IBM Big Data Hub

Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster recovery strategies is understandably increasing. A disaster recovery strategy lays out how your businesses will respond to a number of unplanned incidents.

Strategy 108
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. This often ends up involving meticulous adjustments to prompts.

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How to build a successful product development strategy

IBM Big Data Hub

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Why is a strong product development strategy important? Consumers have access to more information than ever to compare products and brands.

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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

Although some continue to leap without looking into cloud deals, the value of developing a comprehensive cloud strategy has become evident. Without a clear cloud strategy and broad leadership support, even value-adding cloud investments may be at risk. And it’s never too late for CIOs to reassess their cloud strategies.

Strategy 145
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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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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.