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Enterprise AI Isn't A Feature—It's A New UX Paradigm
Enterprise AI Isn't A Feature—It's A New UX Paradigm

Forbes

time5 days ago

  • Business
  • Forbes

Enterprise AI Isn't A Feature—It's A New UX Paradigm

Gopikrishnan Anilkumar is a Principal Product Manager at Amazon, where he leads product management for multiple AI products and services. The rise of generative AI is creating a powerful shift in enterprise technology. From customer support to analytics, organizations are integrating AI into critical workflows, expecting it to enhance productivity, automate repetitive work and drive strategic decision making. But although the technology has matured rapidly, the user experience (UX) layer (i.e., how users interact with and trust these systems) often lags behind. Too many AI-powered enterprise tools fall short not because of model limitations but because they misunderstand how users work, decide and trust. Generative AI isn't just a back-end engine. It represents an entirely new kind of interaction. Designing for it requires rethinking user experience from the ground up. AI Isn't A Button—It's A Behavioral Shift In most AI implementations, product teams treat intelligence as a bolt-on feature, like a button that triggers a model or a prompt box that feeds into a text generation service. But generative AI introduces uncertainty, autonomy and fluidity. It doesn't just return results, as it even participates in decisions. This requires a shift from static feature design to behavioral design. AI systems should be context-aware, act only when useful and adapt to user preferences. In regulated environments, even more care is needed. Each action must be auditable, suggestions explainable and the AI must know when to step back. Prompting Isn't A Scalable UX Pattern Many enterprise tools built around large language models (LLMs) assume users will communicate with AI via typed prompts. Although this may work for developers and early adopters, it's rarely intuitive for business users. Professionals in healthcare, finance or operations don't have time to construct ideal prompts. They want accurate outcomes based on minimal input. Effective AI UX provides structured interactions: smart defaults, fill-in-the-blank suggestions, clickable intents and domain-specific controls. These reduce the friction between user need and AI action. Trust Is A UX Outcome, Not Just A Technical Goal Trust in AI is often discussed as a matter of model quality or data governance. Although these are critical, trust is also a function of how the system presents itself to the user. A confident answer without evidence can erode trust. A transparent answer with sources, confidence scores and options for review builds it. Good UX makes uncertainty visible. It gives users the tools to verify claims, retrace logic and even reject an answer when appropriate. In this way, trust becomes an experience outcome, not just a back-end aspiration. For example, an AI assistant may show which documents were retrieved from a knowledge base to generate an answer, cite time stamps and internal sources, indicate confidence levels with visual cues, and offer a fallback when the model is unsure or the input is ambiguous. These elements transform AI from a black box to a trustworthy product. Enterprise Context Demands Systems Thinking Enterprise workflows are complex. They span systems, roles, data policies and compliance boundaries. A generative model may provide a correct answer in isolation but fail when deployed in a broader system that requires traceability, authorization or multistep context. To realize AI's full promise, product leaders must move away from "feature thinking" (the idea that AI is just another button or tab). Instead, they must embrace "system thinking"—designing AI as an intelligent, adaptive layer that spans data, logic, UX and decision making. This means designing: • With human-in-the-loop interactions, not blind automation • For progressive disclosure, not information overload • With fail-safes and fallbacks, not brittle dependencies • For explainability and auditability, not just speed Conclusion The next generation of successful enterprise AI tools won't be defined by how advanced their models are. They'll be defined by how well they integrate into human workflows with clarity, control and credibility. As product and technology leaders, our responsibility isn't just to deploy powerful models but to ensure they are usable, understandable and trustworthy. That starts with UX. Generative AI isn't a feature to layer on top of legacy interfaces. It's a paradigm shift in how enterprise software behaves. The sooner we embrace this, the faster we'll build systems that truly empower the people who use them. Disclaimer: The opinions in this article are those of Gopikrishnan Anilkumar and not representative of any organizations he has worked for. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish
GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish

Yahoo

time13-07-2025

  • Business
  • Yahoo

GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish

GitLab Inc. (NASDAQ:) is one of the . On July 10, BofA Securities analyst Koji Ikeda reiterated a 'Buy' rating on the stock with a $72.00 price target. The investment firm came out incrementally positive on GitLab's long-term market potential following a meeting with CEO Bill Staples and CFO Brian Robins. The firm believes that the company's 'Duo strategy' is accurately positioned to gear up increased adoption of premium paid tiers and add-on AI products such as the Duo Pro, Duo Enterprise, and the Agent Platform. Responding to concerns about code generation competitors likely leading to shrinking seats and technological disadvantages for GitLab, the firm noted that they are baseless and that code generation is 'becoming a feature.' Moreover, GitLab's end-to-end developer workflow efficiency remains differentiated. A group of analysts studying data on a large monitor. The firm anticipates GitLab to uphold durable revenue growth exceeding 20% with expanding free cash flow margins over the medium term. It considers them to be 'attractive investment traits.' GitLab Inc. (NASDAQ:GTLB) develops software for the software development lifecycle in the US, Europe, and the Asia Pacific. While we acknowledge the potential of GTLB as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and . Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish
GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish

Yahoo

time13-07-2025

  • Business
  • Yahoo

GitLab (GTLB) Gets Vote of Confidence From BofA—Here's Why Analysts Are Bullish

GitLab Inc. (NASDAQ:) is one of the . On July 10, BofA Securities analyst Koji Ikeda reiterated a 'Buy' rating on the stock with a $72.00 price target. The investment firm came out incrementally positive on GitLab's long-term market potential following a meeting with CEO Bill Staples and CFO Brian Robins. The firm believes that the company's 'Duo strategy' is accurately positioned to gear up increased adoption of premium paid tiers and add-on AI products such as the Duo Pro, Duo Enterprise, and the Agent Platform. Responding to concerns about code generation competitors likely leading to shrinking seats and technological disadvantages for GitLab, the firm noted that they are baseless and that code generation is 'becoming a feature.' Moreover, GitLab's end-to-end developer workflow efficiency remains differentiated. A group of analysts studying data on a large monitor. The firm anticipates GitLab to uphold durable revenue growth exceeding 20% with expanding free cash flow margins over the medium term. It considers them to be 'attractive investment traits.' GitLab Inc. (NASDAQ:GTLB) develops software for the software development lifecycle in the US, Europe, and the Asia Pacific. While we acknowledge the potential of GTLB as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and . Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Get Well Appoints Michael Schram as Vice President, Health System Sales to Introduce AI Products and Accelerate Market Expansion
Get Well Appoints Michael Schram as Vice President, Health System Sales to Introduce AI Products and Accelerate Market Expansion

Yahoo

time24-06-2025

  • Business
  • Yahoo

Get Well Appoints Michael Schram as Vice President, Health System Sales to Introduce AI Products and Accelerate Market Expansion

BETHESDA, Md., June 24, 2025 /PRNewswire/ -- Get Well , the leader in digital patient engagement, is pleased to announce the appointment of Michael Schram as Vice President of Health System Sales, where he will oversee all aspects of revenue expansion in its core market, including strategic partnerships, market development, and solution growth across Get Well's suite of digital engagement platforms including new AI products recently introduced at the 2025 Get Connected conference. Schram brings over 25 years of experience at the intersection of healthcare, technology, and enterprise sales, with a proven track record of leading go-to-market strategy, scaling revenue, and forging strong partnerships with leading health systems. His leadership will be instrumental in advancing the company's efforts to empower patients and enable care teams with intelligent, connected tools across the care continuum. "Mike's deep understanding of the healthcare ecosystem and his relentless focus on solving real-world problems with scalable technology solutions make him an ideal leader to drive our next phase of growth," said Michael O'Neil, Founder and CEO of Get Well. "Mike is a leader, a collaborator and a relentless growth leader who attracts top talent and earns the trust of health system leaders. We are so excited to welcome him back to Get Well as we introduce our new Precision Care platform and AI products as part of SAI Group, a global leader in enterprise AI." A familiar face to the company, Schram previously served in a senior leadership role at Get Well, where he led strategic growth initiatives across inpatient, ambulatory, and digital health markets, and has remained a trusted industry voice through executive positions at various leading healthcare organizations, and most recently, a healthcare startup focused on informed consent, blending emerging technologies with operational transformation for providers. "I'm thrilled to rejoin Get Well at a time when health systems are urgently seeking to modernize engagement and reduce friction across care journeys," said Schram. "As part of SAI Group, Get Well is uniquely positioned to accelerate the impact of enterprise AI capabilities and deliver the outcomes patients and providers need." Schram holds extensive experience navigating complex health system relationships and delivering enterprise solutions at scale. His appointment underscores Get Well's commitment to attracting top healthcare talent and delivering measurable results in care engagement, patient satisfaction, and health outcomes. About Get Well Now part of SAIGroup , Get Well is redefining digital patient engagement by putting patients in control of their healthcare, inside and outside the hospital. Get Well combines advanced AI navigation with high-touch care experiences to improve patient activation, loyalty, and outcomes and reduce the cost of care. Get Well serves more than 10 million patients annually at over 1,000 hospitals and clinical partner sites, using longitudinal data analytics to better serve patients and clinicians. Get Well's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare and AVIA Marketplace . Learn more about Get Well and follow us on LinkedIn . Media Contact– Chris Gale, Chris@ View original content: SOURCE Get Well Erreur lors de la récupération des données Connectez-vous pour accéder à votre portefeuille Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données

Canary Technologies Raises $80M to Solidify Its Position as the Hospitality AI Leader and Accelerate Global Reach
Canary Technologies Raises $80M to Solidify Its Position as the Hospitality AI Leader and Accelerate Global Reach

Hospitality Net

time13-06-2025

  • Business
  • Hospitality Net

Canary Technologies Raises $80M to Solidify Its Position as the Hospitality AI Leader and Accelerate Global Reach

Canary Technologies, the award-winning global leader in hotel guest management technology, announced today it has closed an $80 million Series D round of funding to accelerate the company's global expansion as a leader in hospitality AI. Brighton Park Capital led the round, with participation from existing investors: Insight Partners, F-Prime Capital, Thayer Ventures, Y-Combinator and Commerce Ventures. This latest investment brings Canary's valuation to approximately $600 million dollars. This fundraise comes on the heels of a $50M Series C raise announced 12 months ago and caps off an impressive year of growth marked by major partnerships with Best Western, Aimbridge Hospitality, Marriott, Wyndham, TUI Hotels & Resorts, and others. Additionally, Canary unveiled the launch of new cutting-edge AI products, including AI Voice and Webchat. As global demand for AI-powered guest engagement solutions continues to rise, Canary will use the funding to accelerate its rapid expansion. The hospitality industry is entering a new era powered by AI, and we're proud to be at the forefront of that transformation. Through intelligent, enterprise-grade solutions, we're helping hotels run smarter, deliver faster service and create more personalized guest experiences at scale. This latest investment reflects both the extraordinary dedication of the team—whose work is redefining what's possible—and the growing impact Canary is making across the industry. We're energized by the strong demand and excited to expand our partnerships with many of the world's leading hoteliers. Harman Singh Narula, CEO and Co-founder of Canary The announcement builds on Canary's accelerating growth and influence across the hospitality sector. Today, the company supports more than 20,000 hotels in over 100 countries and serves as the enterprise partner of choice for leading global brands, including Marriott, Wyndham, Best Western and many others. Canary has earned consistent recognition from industry experts—named the #1 Guest Experience Platform in consecutive years by HotelTechReport, and recognized by Deloitte, Fast Company and more. This milestone reflects our team's continued commitment to building solutions that elevate the industry. Our AI solutions are crafted in close partnership with customers, purpose-built for hospitality, and deeply inspired by hoteliers' day-to-day workflows. When our hotel partners dream of better service, smarter operations, or more delightful guest experiences, our team works hard to turn those dreams into reality with precision, scale and purpose. SJ Sawhney, President and Co-Founder of Canary Technologies Canary's scale and growth within the travel and hospitality sector are truly unprecedented. We're thrilled to partner with Harman, SJ, and the entire team as they accelerate their momentum and solidify their position as a category leader. Their dedication to delivering enterprise-grade, high-impact solutions for hoteliers positions them for long-term success and sustained global leadership. Kevin Magan, Partner at Brighton Park Capital About Canary Technologies Founded in 2018 by lifelong friends and hospitality experts Harman Singh Narula and SJ Sawhney, Canary Technologies was born out of a shared vision: to create intuitive, guest-centric technology that redefines the hospitality experience. Today, Canary serves properties of all sizes—from independent boutiques to global hotel brands—delivering a unified platform that modernizes hotel operations and transforms the guest journey, from pre-booking to checkout. For more information, visit About Brighton Park Capital Brighton Park Capital is a New York-based investment firm focused on entrepreneur-led, growth-stage software, healthcare and tech-enabled services companies. The firm invests in companies that provide highly innovative solutions in partnership with great management teams. Brighton Park brings purpose-built, value-add capabilities that match the unique requirements of each of its companies. For more information about Brighton Park Capital, please visit Amanda McDowell Content Marketing Manager View source

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