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520: The future of AI in product management – with Mike Todasco

Product Innovation Educators

Mike brings valuable insights about the revolutionary transformation of product development through artificial intelligence. Bio Mike Todasco is a former Senior Director of Innovation at PayPal and a current Visiting Fellow at the James Silberrad Brown Center for Artificial Intelligence at SDSU.

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Product Success Issues: Uses of Artificial Intelligence in Product Success Management

Spice Catalyst

In this tenth and final episode in the Product Success Issues, we discuss the Uses of Artificial Intelligence in Product Success Management. Specific uses in pulling together a product market strategy, mature processes, information for decision-making, understanding the customer and competencies are discussed.

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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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Workday lays off staff as it looks to AI for growth

Mind the Product

More evidence this week of the impact of artificial intelligence (AI) on the tech job market as Workday revealed it is shedding 1,750 jobs – 8.5% of its workforce – because the company is restructuring and looking to AI for growth and efficiency gains. Workday CEO Carl Eschenbach disclosed the layoffs in an SEC filing.

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Xiaomi’s MiMo AI model enters the fray: a new challenger in China’s tech battle boosts stock gains by 5.3% Xiaomi dives into the AI race with MiMo, an open-source Large Language Model (LLM) set to take on OpenAI and Alibaba. Strategic GPU investments pay off, sparking a notable stock surge.

NextBigWhat

Xiaomi enters China’s AI arena with MiMo, an open-source Large Language Model (LLM) rivaling OpenAI and Alibabas offerings. Xiaomi dives into the AI race with MiMo, an open-source Large Language Model (LLM) set to take on OpenAI and Alibaba. appeared first on nextbigwhat.

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Notes from a product design vibe coding hackathon

Intercom, Inc.

And, as it turned out, no amount of re-prompting could guide the LLM to fix this. We began to realise that unique interactions – like endless scrolling on a canvas – are not what an LLM “expects” a website to do. Soon, we were confidently informed: “All content blocks can now be dragged and the website is fully scrollable.”

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA?

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Resilient Machine Learning with MLOps

Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Why do AI-driven organizations need it?

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

In March 2020, the world was hit with an unprecedented crisis when the COVID-19 pandemic struck. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.