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How to Get Proactive About Data Quality
Matt Harrison Clough When it comes to dealing with data quality, teams and companies fall into one of three modes: unmanaged, organized cleanup, or proactive prevention. Most organizations get stuck in one of the first two. The work of addressing data issues is demanding, messy, and time-consuming. Poor-quality data can cripple decision-making and doom generative AI projects,… →
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Meet Mr. Treadmill, Your Workout Buddy
When it comes to self-motivation, strategies abound. Some of us like to stare hard in the mirror and give ourselves a pep talk. Others put on a pair of headphones and listen to a rally song. And still others meditate in focused silence. However we choose to motivate ourselves, a universal truth is that it… →
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When Put to the Test, Are We Any Good at Spotting AI Fakes?
From extra fingers to overly smooth skin and hair, many AI-generated photos have common tells that make it easy for people to quickly identify them as bogus. But not all AI-generated photos are so obviously fake. Sometimes careful observation can reveal a clue that something looks off, but other times, AI-generated photos are indistinguishable from… →
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Do Gut Feelings Change Over Time?
For decades, there was a general assumption that our unconscious or automatic thoughts and feelings were unchangeable—a kind of rigid cognitive force. But that assumption never sat well with Tessa Charlesworth, an assistant professor of management and organizations at Kellogg. It seemed to her that, “even if these are ‘gut feelings,’ they’ve got to come… →
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How Higher Pay Incentives Can Backfire
In the mid-1990s, Safelite, a windshield repair company, made a bold move. It replaced hourly wages with performance-based pay, offering employees the chance to earn more money the more windshields they installed. The results were striking. Within a year, productivity surged by approximately 44 percent. “That’s a massive increase,” says George Georgiadis, an associate professor… →
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How to Keep Your Network Warm
It’s often the case that the longer you stay in the workforce, the bigger your network gets. Former colleagues, acquaintances from conferences, someone who once got in touch via LinkedIn—your network could easily include hundreds or even thousands of people. But regardless of its size, maintaining your network can make a huge difference to your… →
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The AI messaging pivot happening across SaaS
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. In… →
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Cognizant AI vs Infosys Nia: Optimize Product Pipelines with Smarter AI
Cognizant AI Solutions optimizes supply chains and IT operations for global enterprises boosting ROI Lowering IT infrastructure costs via AI-driven resource allocation reduces operational expenses Equivalent products from the list include Infosys Nia or Accenture Applied Intelligence →
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AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather than imitating intermediate reasoning steps. Current RLVR works face critical scalability challenges as they heavily depend on manually curated collections of questions and answers for training. As reasoning models advance, constructing large-scale, high-quality datasets becomes… →
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Google Redefines Computer Science R&D: A Hybrid Research Model that Merges Innovation with Scalable Engineering
Computer science research has evolved into a multidisciplinary effort involving logic, engineering, and data-driven experimentation. With computing systems now deeply embedded in everyday life, research increasingly focuses on large-scale, real-time systems capable of adapting to diverse user needs. These systems often learn from massive datasets and must handle unpredictable interactions. As the scope of computer… →