Ditch the “one-size-fits-all” AI fantasy—this week, we’re busting some common AI myths.
Spoiler: the “prompt-and-pray” approach (throwing prompts at AI and hoping for magic) is outdated. The real power lies in combining purpose-built tools to drive AI success, not hype.
Data and analytics remain the backbone of AI—without quality data, even the smartest AI is useless (think Ghostbusters reboot-level flop). Prep your data, track ROI, and turn “meh” results into game-changers.
And good news for mid-market businesses—digital twins are no longer exclusive to the enterprise. These virtual models can now optimize your operations without draining your budget.
This issue is all about cutting through AI hype, aligning tech with real business goals, and spotlighting the tools that actually make companies smarter. Let’s dive in!
Max Vermeir
Senior Director of AI Strategy ABBYY
AI News You Need to Know: Expert Take
No Single AI Reigns: The False Promise of 'Prompt-and-Pray'
Dr. Marlene Wolfgruber: “The myth that one AI technology can solve all enterprise challenges is finally unraveling. The "prompt-and-pray" approach, which places blind faith in generalized AI systems, is proving to be unreliable and inefficient at scale. Different AI technologies excel in different areas—and the real power lies in strategically combining them for their unique strengths. From conversational AI to Intelligent Document Processing and Process Intelligence, purpose-built solutions remind us that no single tool can do it all. To move beyond the hype, enterprises must embrace the diversity of AI capabilities and deploy the right technology for the right job to get the best results.”
Simulate, Optimize, Succeed: Digital Twins Now More Accessible for Mid-Market
Jonathan Knisley: “Digital twins, once reserved for enterprise giants, are now within reach for mid-market businesses and helping to level the playing field in today’s increasingly complex business environment. These tools allow companies to simulate and optimize complex multivariable problems, cutting the costs of trial-and-error approaches. By leveraging clear objectives, process mapping, structured data, and off-the-shelf templates, the mid-market can run small-scale tests and refine strategies. The result? Smarter decisions and sharper execution that drive sustained growth and competition.”
Slavena Hristova: “In this day and age, teams should cultivate an “AI-first” mindset—approaching problems by considering AI as a potential solution while carefully evaluating its added value compared to traditional methods. However, not all AI is suited to every use case, and misaligned applications can lead to wasted resources. Measuring ROI and impact post-deployment is essential to ensure continued value and uncover new opportunities. For AI, and even more so for GenAI, success demands AI-ready data, which may unveil some gaps in your current data and analytics approach. Aligning the right data with the appropriate AI solutions is the key to achieving impactful and scalable results.”
Move 37: AlphaGo's 'God's Touch' Redefines AI and Stuns the Go Community
AlphaGo’s legendary match against Lee Sedol in 2016 surpassed all expectations, but it was Move 37 in Game 2 that stunned the Go community and left everyone, including Sedol, scratching their heads. Initially dismissed as a mistake, this now-iconic move had only a one-in-ten–thousand chance of being played by a human. Even Sedol himself paused for nearly 15 minutes to process its implications.
This single moment showcased AlphaGo’s ability to think beyond conventional human strategies, offering a glimpse of AI's creative potential. Known as "God's Touch," Move 37 wasn’t simply genius—it was a turning point that redefined how we see artificial intelligence in one of humanity's most complex games
Leading companies prioritize AI investments in process-level productivity, dedicating 42% of their budgets to achieve 30-50% improvements in critical functions, with only 18% going to individual productivity. In contrast, most organizations misallocate resources, focusing 44% on individual productivity while only 29% targets process optimization, missing opportunities for broader impact.
Get ready to explore the forefront of innovation at the ABBYY AI Summit Series 2025. This premier event brings together industry leaders, visionaries, and experts to redefine how AI transforms businesses and drives the future. Through inspiring keynotes, dynamic panels, and interactive sessions, you’ll gain deep insights into the latest trends, practical applications, and ethical dimensions of AI.
Podcast: Predicting AI Trends & Ethics: From Skynet Fears to Star Trek Dreams
In this episode of AI Pulse podcast, we welcome new co-host Dr. Marlene Wofgruber. Dive into groundbreaking discussions on AI's future, featuring insights with Max, Marlene, and guest industry experts, Ema Roloff and Alexander Hanff.
Blog: What Is Purpose-Built AI, and What Are Its Benefits?
In today’s rush to adopt artificial intelligence (AI), businesses can find one-size-fits-all solutions tempting. To truly stand out and gain a competitive edge, organizations require tailored solutions. Enter purpose-built AI, artificial intelligence technology specifically crafted to tackle unique business challenges and streamline processes. In this blog post, we go over the essentials of purpose-built AI, uncover its distinct advantages, and explore how it can revolutionize the future of business operations.
AI in Practice: Real-World Applications & Case Studies
Case Study: Roboyo Steps Up Hyperautomation with ABBYY Purpose-Built AI Solutions
Roboyo’s clients recognized that manual processes of entering purchase orders into SAP had become cumbersome, time consuming, and prone to human error. To alleviate these detriments to productivity and accuracy, Roboyo’s delivery team set out to leverage automation in developing new, streamlined processes that benefit clients’ employees as well as end customers.
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