recommendations 
UX Studio
MARCH 1, 2024
Which AI tools do we recommend you try out? Here’s a short list of tools we recommend you try! The post Best AI Research Tools: Insights & Recommendations appeared first on UX Studio. Similar to how the assistant requires time to accumulate experience, AI also requires time to improve. Book a consultation with us.
The Product Coalition
DECEMBER 29, 2021
If the participant requests a specific feature or solution, ask about why they need that, and capture the opportunity” One of the best product books I read, and I strongly recommend it to any product persona out there. But, I believe in the core concepts Peterson wrote about, and I recommend this book. How’d that go?”
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Mind the Product
JULY 21, 2023
Product manager and a data enthusiast Ishita Choudhary, looks into the intricacies of recommendation engines, and what impact this is having on overall business growth. Read more » The post The power of data: How recommendation engines are driving business growth appeared first on Mind the Product.
The Product Coalition
APRIL 12, 2022
Photo by Thibault Penin on Unsplash Netflix’s Recommendation Engine (NRE) has had a huge part to play in the success of the OTT giant. It is highly accurate and relevant, so much so that about 80% of Netflix’s viewer activity is driven by personalized recommendations from the engine.
Advertiser: ZoomInfo
It’s recommended to test out which one is best for your team. Every sales forecasting model has a different strength and predictability method. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!
Rahul Abhyankar
MARCH 27, 2024
If you are like me, always on the lookout for book recommendations, I’ve got something for you! I asked each of my guests on Season 1 of Product Leader’s Journey which books they can’t recommend enough to others. Here are the worthwhile titles that came up. I hope you enjoy these reads!
The Product Coalition
MARCH 20, 2020
A Collection of News Articles by Popular Media that Explain Recommender Systems in a Way Everyone Can Understand. Untitled, 2020 (by me) In 2004, Chris Anderson wrote “ The Long Tail ” , an article that motivates the need for recommender systems. Of course, not all the coverage of mainstream media for recommender systems is positive.
Speaker: Scott Sehlhorst - President, Tyner Blain
A product-led company is one that grows through user adoption and word-of-mouth recommendation. Usage by individuals then drives companies to purchase subscriptions or licenses. For this model to work, your product has to be genuinely desirable to the users you want to engage as the company's engine of growth.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster.
Advertiser: Vanilla Forums
19 recommendations on how to successfully navigate 2021. This year's edition includes: Insight from 21 top community experts. 7 key trends to expect in 2021. Thorough analysis of the factors that have led to the emergence of these trends. Be prepared for 2021. Download your free copy today!
Speaker: John Little, Head of Product Marketing, Centercode
Turn masses of user feedback into actionable recommendations. And second, how do you turn user data into strategic priorities that help the right teams make the right decisions. You'll learn how to: Use customer testing to understand your product experiences. Use the voice of the customer in making decisions across departments.
Speaker: Michael McMillan - Customer Experience Expert, TEDx Speaker, and Author
Customers who have a seamless buying experience, from speaking with sales and purchasing the product to easily finding support, are more likely to return to your organization and recommend it to others.
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