The intricacies of the time-honored question of whether to build or buy take on new dimensions when it comes to enterprise AI. Organizations must not only account for traditional considerations like cost, time-to-market, and proof of concepts but also for those that are unique to advanced machine learning and language model deployments.
Jelani Harper //
08 Jun 2026
Multimodal applications of AI are gaining credence throughout the enterprise at increasingly rapid rates—and for good reason. Firstly, they come close to realizing the full potential of foundation models and large language models (LLMs) which, by default, are multimodal.
Jelani Harper //
03 Apr 2026
With all the noise around generative AI (GenAI) since the advent of ChatGPT, has the signal gotten lost? Are we missing the one "killer app" that will make GenAI indispensable? What is more likely is that multiple killer apps will surface across many markets and industries.
John Harney //
18 Dec 2025
The collective fields of knowledge, data, content, and information management have experienced massive changes over the last several years. AI, not long ago a concept mainly reserved for science fiction, has become an everyday tool for information workers.
Zack Wahl and Lulit Tesfaye //
15 Oct 2025
Cleo, a global leader in supply chain orchestration solutions through its Cleo Integration Cloud (CIC) platform, is partnering with Bear Cognition, Inc., a leading provider of automation and intelligence systems for supply chain operations.
Stephanie Simone //
07 Nov 2025
C3 AI, the Enterprise AI application software company, announced a partnership with Eletrobras, Latin America's largest power and utility provider, to scale C3 AI Grid Intelligence for real-time fault monitoring and resolution across all of Eletrobras' operations centers.
Stephanie Simone //
25 Aug 2025
Zuvu AI and Vana are announcing a strategic partnership to advance decentralized AI by integrating user-owned data, permissionless compute, and economic incentives.
Stephanie Simone //
05 Mar 2025
Solving the 95% Blind Spot: How to Find the Issues Your Contact Center Doesn't Know It Has Your Contact Center Is Flying Blind on 95% of Customer Data Most teams analyze only 5%—manual tags and sampled data. The rest stays hidden in transcripts, chats, and surveys. What This Costs You: Reacting weeks after problems start Missing emerging issues with outdated taxonomies Never catching the "unknown unknowns" that drain revenue Why AI deflection fails (and what works instead) The Avoidance Imperative—eliminate issues at the source How autonomous taxonomy delivers 100% coverage Get the Ebook
09 Dec 2025
What if anyone in your entire company—from an engineer to a marketing leader—could instantly ask a plain language question and get a definitive, quantified answer from 100% of your customer conversations? This datasheet shows you how. Learn how Spiral’s easy-to-use AI agent autonomously analyzes every call, chat, email, and review to find the ultra-specific root cause of every customer issue—transforming 100% of your customer conversations into actionable, predictive insights. Go from 'What if?' to 'Here's how.' Trusted by innovative teams at Turo, Owlet, and Whitepages
09 Dec 2025
When should AI handle the interaction—and when should humans step in? Watch this on-demand session with CCW Digital and UJET experts to find out. What You'll Learn: 2025–2026 AI predictions and emerging CX capabilities Strategies for seamless AI-to-human escalation Which use cases need AI vs. where humans are essential A framework for balancing AI-led and human-led experiences Featuring Brooke Lynch (CCW Digital), Matthew Clare (UJET), and Dave Michels (TalkingPointz) Watch On Demand Now!
09 Dec 2025