Craft & Code: Able Perspectives

Leading the engineering discipline at Able, I've had the privilege of working with a team that is both exceptional and naturally curious. Experimentation is in our DNA—we’ve always been early adopters, thoughtfully evaluating new tools and technologies before integrating them into our stack.

Pradeepa Dhanasekar·Mar 26, 2025

Recent findings reveal a stark reality: 36% of AI researchers warn of catastrophic risks from uncontrolled AI development. As someone who has led technology teams through multiple waves of disruption, I've observed that companies typically approach AI adoption in one of two ways: either reactively scrambling to catch up or strategically integrating AI as a competitive advantage. The difference between these approaches isn't just technical capability—it's a fundamental understanding that responsible AI implementation is the only sustainable path forward. With AI, the winners won't simply be first-to-market—they'll be first-to-trust. For CTOs and technology leaders, implementing responsible AI isn't just about avoiding risks—it's a strategic advantage that creates lasting value while protecting your organization's future. While many view this as compliance overhead, robust governance now builds the foundation for competitive differentiation as enterprise customers increasingly audit AI vendors' ethical practices.

Pradeepa Dhanasekar·Feb 14, 2025

This "AI is revolutionizing..." thing has become a familiar refrain across industries, the journey from artificial intelligence research to practical implementation in private equity (PE) presents unique challenges. Integrating AI into high-stakes PE workflows, from sourcing deals to conducting due diligence and managing portfolios, requires more than just cutting-edge technology. In an industry built on expertise and trust, many investment professionals remain wary of cutting-edge black-box models guiding million-dollar decisions. This article explores the complex barriers between AI's theoretical potential and its practical application in PE, examining integration hurdles, trust issues, and real-world lessons from early adopters. We'll also investigate how bridging this gap requires a two-sided evolution: AI researchers developing more practical, interpretable solutions while PE firms build stronger technological foundations through investments in data infrastructure, talent, and cultural change.

Arnon Bruno V. Santos·Feb 7, 2025

In today's fast-paced digital landscape, mid-market companies are under immense pressure to innovate and deliver software faster than ever before. The promise of AI to revolutionize the Software Development Lifecycle (SDLC) is undeniable—unlocking unprecedented speed, efficiency, and quality. However, many mid-market CTOs feel overwhelmed by the complexities of AI adoption. Where do they even begin? According to a recent report, the global AI market in software development is projected to grow from $184 billion in 2024 to $266 billion by 2025[1], highlighting the urgency for companies to adapt.

Jose Rodriguez·Jan 24, 2025

Discover how vertical AI and efficient domain models are revolutionizing mid-market companies by streamlining development, reducing costs, and delivering accurate, industry-specific insights.

Michelle Yi·Jan 24, 2025

Welcoming Michelle Yi as Able's new Head of Applied AI, bringing over 15 years of expertise to drive innovation in AI exploration.

Larissa Shah·Jan 23, 2025