Latest news with #AI-First
Time of India
15-05-2025
- Business
- Time of India
From adoption to integration: What it truly means to be AI-First for organizations
We are experiencing one of the most revolutionary periods in the history of enterprise technology. The rapid pace of Artificial Intelligence is no longer a buzzword, it's a strategic reality. Yet, even with all the hype and advancements, most organizations still think of AI as a feature to be implemented or a tool to be added on. That mindset is due for a reset. To become an AI-First company is not simply about implementing next-generation technology, it's about reimagining fundamentally how a company runs, makes decisions, and delivers value. A recent report from IDC reveals that AI spending in India is set to grow at 35% annually, reaching $9.2 billion by 2028, emphasizing the need for better data quality, governance, and cloud migration to maximize AI's potential. This type of transformation starts not with tools but with people. It begins with leadership and over time shapes the culture of a whole organization. Embracing an AI mindset requires shifting from reactive experiments to proactive exploration. It calls for every function—HR, finance, operations, marketing, product, to reimagine its role in the context of intelligent systems. HR, for instance, can use AI to make recruitment more precise and inclusive. Finance can lean on predictive analytics to make faster, better-informed decisions. Marketing can understand customer behavior in real time, and supply chains can become more resilient by identifying patterns that humans often overlook. AI as a Revolution, Not an Iteration It's important to recognize that the rise of AI isn't just the next step in a technological evolution, it's a revolution. Previous technologies have amplified human capability, but they still required human direction. AI, on the other hand, learns. It adapts. It can operate autonomously in certain contexts, making it unlike any tool we've used before. This capacity to think and evolve on its own terms fundamentally changes how we build products, engage with customers, and measure success. It's important to recognize that the rise of AI isn't just the next step in a technological evolution, it's a revolution. Previous technologies have amplified human capability, but they still required human direction. AI, on the other hand, learns. It adapts. It can operate autonomously in certain contexts, making it unlike any tool we've used before. This ability to think and improve on its own terms fundamentally alters the way we create products, interact with customers, and define success. The revolution is already underway. 54% of organizations report they are currently employing or intend to implement AI in the next two years, based on the EY Global Integrity Report 2024. But only 40% of these have controls to regulate its application. This speaks to a strong readiness gap as AI adoption expands across industries. AI as a Growth Engine To truly lead in the AI era, organizations must stop thinking of AI as a cost-saving measure or an operational efficiency play. That's certainly part of its value, but the bigger story lies in growth. AI can open up new business models, uncover opportunities that humans miss, and power faster, smarter innovation. It enables businesses to personalize offerings at scale, predict customer needs, and deliver better outcomes in real time. What once seemed like futuristic capability is fast becoming table stakes for staying competitive. To really lead in the age of AI, organizations need to break out of the mindset of viewing AI as a cost-cutting measure or an operational efficiency move. That's definitely part of its value, but the larger narrative is about growth. AI can unlock new business models, reveal opportunities that humans overlook, and drive faster, smarter innovation. It allows companies to tailor offerings at scale, anticipate customer demand, and deliver better outcomes in real time. What once seemed like futuristic capability is fast becoming table stakes for staying competitive. When used purposefully, AI augments, not replaces human judgment. The true value is unlocked when humans are liberated from mundane tasks and enabled to devote themselves to strategic thinking, creative problem-solving, and significant innovation. In that regard, AI is not just a tool, it's a force multiplier. Building an AI-First Operating Model The path to becoming AI-First involves more than just vision. It takes a clear strategy that links AI initiatives to the organization's core mission and customer requirements. Leaders need to determine where AI can create real business value, create measurable results, and establish internal frameworks to support scale and governance. A strong AI strategy requires cross-functional teamwork, ethical guidance, and regular measurement. It also needs challenging traditional organizational forms—promoting cross-functional teams, facilitating data-sharing across silos, and making AI development not merely an IT effort but a business-wide initiative. Ownership and accountability are critical, as is a culture of ongoing learning and adaptation. The Culture Behind the Code And possibly most important among them is culture. An AI-First organization doesn't exist to how technology, but also in how it believes. It gets curious, tests and experiments relentlessly, and wants data before going with their "gut". It'll stop at nothing short of blowing everything up and reconstructing a different set of strengths and competencies at each tier. Being AI-First is about asking smarter questions, not discovering answers faster. It's about arming teams with the tools and self-assurance to deal with uncertainty, abetted by intelligent systems that learn and improve together. If done correctly, the cultural transformation is as transformative as the technological one. The transition to an AI-First approach is not easy or quick. It requires intention, alignment, and a willingness to challenge the status quo. But the payoff is profound. In the age of intelligent enterprise, the advantage won't lie with those who adopt AI the fastest, but with those who integrate it the deepest. The future belongs to the organizations that are bold enough to reimagine themselves—and disciplined enough to build that vision, one intelligent decision at a time.
Business Wire
21-04-2025
- Business
- Business Wire
Docebo Achieves FedRAMP® Moderate Authority to Operate (ATO), Expanding Ability to Provide Secure Learning Capabilities to US Federal Agencies
TORONTO--(BUSINESS WIRE)-- Docebo Inc. (Nasdaq:DCBO; TSX:DCBO) (" Docebo" or the " Company"), a leading learning platform provider with a foundation in artificial intelligence (AI) and innovation, today announced that it is now listed in the FedRAMP® marketplace at the Moderate impact level after receiving Agency Authority to Operate (ATO). The attainment of this milestone underscores Docebo's commitment to delivering secure, scalable, and compliant eLearning solutions to U.S. federal agencies and their workforce. Docebo's FedRAMP Moderate ATO confirms the platform meets agency security controls required for federal use. Federal agencies can now reuse this authorization to deploy Docebo for mission critical learning programs. 'Being listed in the FedRAMP marketplace and achieving ATO at the Moderate impact level is a significant milestone that deepens our ability to support the unique training needs and valuable missions of U.S. federal agencies—and may also support state, local, and education organizations that adopt FedRAMP standards,' said Alessio Artuffo, President and Chief Executive Officer of Docebo. 'Public sector organizations are under pressure to modernize, and many are moving away from outdated custom-built solutions to prioritize the use of secure, cloud-based platforms. Docebo's AI-First learning platform is built for this moment – combining the security and reliability government agencies require with the advanced features and flexibility of a modern solution.' The FedRAMP program standardizes security assessment, authorization, and continuous monitoring for cloud services across the federal government. Being listed in the FedRAMP marketplace at the Moderate impact level not only affirms Docebo's adherence to these high standards but also enables greater innovation and efficiency in public sector learning. In reaching this milestone, Docebo has successfully demonstrated compliance with hundreds of rigorous FedRAMP security controls through an agency-wide assessment process. The authorization was achieved on AWS GovCloud (US), and the validated security package is available to all agencies through the FedRAMP Marketplace. Forward-Looking Information This news release may contain "forward-looking information" and "forward-looking statements" (collectively, "forward-looking information") within the meaning of applicable securities laws, including, without limitation, statements regarding Docebo's ability to deliver secure solutions to US federal agencies and their workforce and the impact of receiving ATO on Docebo's business. This forward-looking information is based on our opinions, estimates and assumptions that, while considered by the Company to be appropriate and reasonable as of the date of this press release, are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results or achievements to be materially different from those expressed or implied by such forward-looking information, including, but not limited to, the Company's ability to secure and maintain a U.S. government agency sponsor, enter into contracts with such sponsor and other agencies, as well as those factors discussed in greater detail under the "Risk Factors" section in our Annual Information Form, available free of charge under the Company's profile on SEDAR+ at and on EDGAR at If any of these risks or uncertainties materialize, or if the opinions, estimates or assumptions underlying the forward-looking information prove incorrect, actual results or future events might vary materially from those anticipated in the forward-looking information. Although we have attempted to identify important risk factors that could cause actual results to differ materially from those contained in forward-looking information, there may be other risk factors not presently known to us or that we presently believe are not material that could also cause actual results or future events to differ materially from those expressed in such forward-looking information. There can be no assurance that such information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such information. No forward-looking statement is a guarantee of future results. Accordingly, you should not place undue reliance on forward-looking information, which speaks only as of the date made. The forward-looking information contained in this press release represents our expectations as of the date specified herein and are subject to change after such date. However, we disclaim any intention or obligation or undertaking to update or revise any forward-looking information whether as a result of new information, future events or otherwise, except as required under applicable securities laws. All of the forward-looking information contained in this press release is expressly qualified by the foregoing cautionary statements. About Docebo Docebo is redefining the way enterprises leverage technology to create and manage content, deliver training, and measure the business impact of their learning programs. With Docebo's end-to-end learning platform, organizations worldwide are equipped to deliver scaled, personalized learning across all their audiences and use cases, driving growth and powering their business. Learn why businesses around the world love Docebo by visiting our customer stories page.
Tahawul Tech
15-04-2025
- Business
- Tahawul Tech
'You can't create a lasting impact without investing in local talent.' – Nidal Abou-Ltaif, TeKnowledge
CNME Editor Mark Forker spoke to Nidal Abou-Ltaif, Chief Revenue and Transformation Officer at TeKnowledge, to find out more about how their AI-First Expert Services model can unify the entire lifecycle of business transformation. Nidal Abou-Ltaif is one of the most respected and revered business and technology leaders in the Middle East. Abou-Ltaif is perhaps best known for his long association with global CX company Avaya, but he is now forging a new path, and hoping to help US tech company TeKnowledge scale new heights across the region. As organizations race to operationalize AI at scale, many are hitting familiar roadblocks: vendor fragmentation, siloed service models, and costly integration gaps. According to IDC, 70% of CIOs cite vendor sprawl as a barrier to progress, while Gartner reports that 77% struggle to deliver AI value due to disconnected systems. TeKnowledge believe the answer lies in a new kind of partnership—one that unifies the entire lifecycle of transformation through an AI-First Expert Technology Services model. Today, the company unveiled a refreshed brand identity and a service framework designed to close these gaps by embedding AI from strategy through delivery and continuous improvement. At the core is a continuum of integrated solutions and services spanning AI, Customer Experience (CX), Cybersecurity, Digital Skilling, Professional and Managed Services. This connected model is built to make transformation more accessible and impactful—through long-term thinking, deep partnerships, and expert-led execution. CNME sat down with Abou-Ltaif for a deep dive on all things TeKnowledge. You joined TeKnowledge in October 2024. Almost six months in, how would you reflect on your experience so far? What does your strategy look like for the remainder of 2025? It's been an energizing and deeply meaningful six months. I joined at a time of momentum and change, and what stood out immediately was the strength of connection—between our people, our customers, and our purpose. Across our global hubs, I've seen real depth in both technical capability and local insight, which is increasingly important as we support clients in more complex, fast-moving environments. This month marked an important milestone for us, with the launch of our AI-First model and new brand identity. But more importantly, it reinforced our focus—making transformation both accessible and sustainable. We're moving away from episodic change and toward continuous innovation. That shift calls for clarity, discipline, and focus—and that's where our efforts are concentrated. The path forward is about scaling what works, building on strong foundations, and forming partnerships that deliver long-term value. Tell us more about the AI-First Expert Technology Services model you introduced. Why is it relevant now? There's been no shortage of excitement around AI—but what many organizations need is a way to move from idea to impact. That's what this model is designed to support. Our AI-First Expert Technology Services model brings together five essential elements: AI, Customer Experience (CX), Cybersecurity, Professional Services, and Managed Services. These aren't siloed offerings—they're intentionally integrated to support the transformation continuum of enterprises, enabling continuous progress from strategy through delivery, adoption, and ongoing optimization. We built the model in response to three persistent challenges we kept seeing in the market. First, the pace of AI advancement is outpacing most organizations' ability to integrate it. There's pressure to adopt quickly, but the complexity beneath the surface—data readiness, operating models, governance—is often underestimated. Second, many enterprises are working with too many vendors, especially in areas like customer engagement and operations. That fragmentation creates disjointed experiences and slows down innovation. Third, even when the technology is in place, adoption and internal capability-building often lag behind. And that's where momentum gets lost. This model addresses all of that. It embeds AI from the ground up and provides continuity across the transformation journey—helping clients move faster, scale smarter, and unlock measurable outcomes across AI, CX, and Cybersecurity. What brings it to life is the capability behind it—the people who deliver with clarity, consistency, and care. Over 70% of our workforce is trained on Microsoft technologies, with deep certifications across Azure, Dynamics, and Copilot. AI is no longer a standalone solution—it's becoming a horizontal capability that sits across the enterprise. And that shift calls for more than a new toolset. It calls for a new kind of service partner—one that's technically grounded, operationally ready, and aligned to outcomes from day one. It also requires continuous investment in learning and internal skilling—because the ability to lead in AI starts with the ability to learn, adapt, and evolve from within. How important is hiring local talent to your growth strategy, particularly in regions with strong nationalization agendas? It's a core principle. You can't deliver relevant solutions without local context—and you can't create lasting impact without investing in local talent. Across markets, we're seeing growing emphasis on national workforce development. That aligns with how we operate. We approach it with intent—because building local capability is both a strategic advantage and a long-term commitment to the communities we serve. It's also a differentiator. People who understand the regulatory, cultural, and operational nuances of a market are often the ones who unlock the most value. By focusing on local skilling and long-term employability, we're able to serve clients in ways that are both technically excellent and contextually aware. In January 2025, you made several leadership appointments. How do these help advance your strategy? Leadership is one of the most powerful accelerators of change. The right people bring alignment, clarity, and momentum—and that's exactly what we've aimed to strengthen. The new leadership team reflects diverse global experience across transformation, delivery, and customer engagement. But beyond expertise, they bring a shared mindset: that impact is earned through trust, operational excellence, and consistent execution. We've also worked hard to create an environment where talent can thrive. A strong culture, supported by clarity and high standards, allows people to lead with confidence—and deliver with purpose. You recently announced a partnership with Genesys. What makes this collaboration significant? It's a great example of alignment between platform strength and delivery readiness. Genesys brings a powerful set of capabilities in customer experience. Our role is to help operationalize those capabilities in large-scale, real-world environments—through process expertise, managed services, and integration that's designed for complexity. We've seen growing demand for solutions that not only modernize engagement but also build long-term capability—from automation to analytics to skilling. This collaboration enables us to bring modern customer engagement solutions to market faster—with the delivery scale, security, and integration our clients require. It also complements our long-standing work with Microsoft, particularly in areas like AI, security, and productivity. Together, these partnerships allow us to deliver more connected, scalable outcomes—and meet clients where they are in their transformation journey. What lessons guide your approach to sustainable growth? Sustainable growth starts with clarity. You need to know what differentiates you—and stay focused on delivering it, consistently and intentionally. For us, that means simplifying complexity. Many clients are navigating disjointed systems and competing priorities. What they value most is coherence: partners who can connect insight to execution, and strategy to measurable outcomes. It also means investing in culture. Scale only works when people grow with it. That's why we've prioritized leadership development, skilling, and environments where trust drives performance. Technology should enable progress, not overwhelm it. Growth becomes sustainable when it's built on capability, not just ambition. AI is moving fast—especially in CX. What trends do you see, and how is TeKnowledge positioned to lead? The conversation around AI is evolving—from curiosity to capability, from potential to performance. We've entered a moment where the real challenge isn't the technology itself, but how to harness it with intention and clarity. In customer experience, we often talk about personalization, speed, and scale. But behind every great customer interaction is an empowered employee. CX and EX are deeply connected, and organizations that invest in both are creating the most meaningful change. What's emerging is a new definition of progress. Innovation is no longer defined by breakthroughs alone—it's a continuum. A consistent rhythm of improvement, learning, and adaptation. And that requires more than platforms—it calls for expertise, precision, and a commitment to long-term value. That's the foundation of our AI-First Expert Technology Services model. We bring intelligence into every layer of the enterprise—how services are delivered, how decisions are made, and how outcomes are achieved. This approach enables clients to scale confidently, with built-in clarity and control. What excites me most is seeing how AI is reshaping how businesses think about value—how they design experiences, empower people, and make decisions. Intelligence is no longer confined to a system or a function; it's becoming part of how organizations operate at every level. That shift opens the door to entirely new possibilities—ones we're actively exploring alongside our clients.
