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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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Off the Shelf vs Custom Software: Making the Right Choice for Your Business

Trigent

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.

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Hivery bags new money to automatically optimize product placement on store shelves

TechCrunch

chances are you’re selecting products off shelves that have made it there using Hivery’s core product,” he told TechCrunch. chances are you’re selecting products off shelves that have made it there using Hivery’s core product,” he told TechCrunch. We call it ‘hyper-local retailing.'”

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation.

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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. What is the top pain point for business executives? The world’s largest IT research firm Gartner gives a clear answer: demand volatility.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.