How Work Tech is Evolving

𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐢𝐬 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐣𝐮𝐬𝐭 𝐚 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦. 𝐈𝐭’𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐛𝐫𝐚𝐢𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬. Just read the latest 𝐓𝐞𝐜𝐡 𝐕𝐢𝐬𝐢𝐨𝐧 2025 report from Accenture - and it really got me thinking about where IT is heading. Here’s what stood out to me: 🔹 𝐅𝐫𝐨𝐦 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲 We’re moving past basic automation. AI is now learning, adapting, and making decisions-whether it’s in customer support, operations, or even robotics. Imagine a “𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐛𝐫𝐚𝐢𝐧” that remembers how things are done, learns from every interaction, and keeps improving. That’s where we’re headed. 🔹 𝐓𝐡𝐫𝐞𝐞 𝐁𝐢𝐠 𝐒𝐡𝐢𝐟𝐭𝐬 𝐢𝐧 𝐈𝐓 📌𝐀𝐛𝐮𝐧𝐝𝐚𝐧𝐜𝐞: Building software and digital tools is becoming faster and cheaper. With tools like coding copilots and powerful chips from NVIDIA, developers can get things done in hours, not months. 📌𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Instead of clicking through apps, we’ll soon just ask an AI to do things for us-like “generate a report” or “optimize this workflow.” This means anyone can create value, not just the tech experts. 📌𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲: Systems will start running and fixing themselves. When set up well, they’ll respond to needs automatically-no more waiting for someone to file a request or fix a bug. 🔐 𝐁𝐮𝐭 𝐧𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐰𝐨𝐫𝐤𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐫𝐮𝐬𝐭. As systems grow smarter, companies must focus on data security, fair AI, and clear communication. Trust isn’t just about tech-it’s also about people feeling confident in how it's used. 🔹𝐀𝐥𝐰𝐚𝐲𝐬 𝐩𝐞𝐨𝐩𝐥𝐞 𝐨𝐯𝐞𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬. New tools are great, but they only work if people know how to use them. Invest in training, encourage experimentation, and reward curiosity. Skills can be taught; genuine enthusiasm can’t. 🔹𝐂𝐮𝐥𝐭𝐮𝐫𝐞 𝐛𝐞𝐚𝐭𝐬 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲. The companies that win will be the ones where everyone feels safe to try new ideas, admit mistakes, and iterate quickly. Celebrate small wins and learn fast from what doesn’t work. 🚀 𝐍𝐨 𝐦𝐚𝐭𝐭𝐞𝐫 𝐰𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐨𝐧 𝐭𝐡𝐞 𝐣𝐨𝐮𝐫𝐧𝐞𝐲: If you’re just starting - pick one high-impact task to automate. If you’re experimenting - build simple AI helpers and learn from the results. If you’re scaling - invest in flexible systems and people-first policies. 𝐁𝐨𝐭𝐭𝐨𝐦 𝐥𝐢𝐧𝐞: This isn’t about replacing people with machines. It’s about making technology smart enough to support people better - so they can spend more time solving real problems, not stuck in busywork. #TechVision2025 #AI #DigitalTransformation #FutureOfWork #Leadership #Innovation

CIOs have a challenge managing enterprise technology. Here's the tea: IT has changed. A lot. Agile took over on the promise that IT could adapt faster to be a better partner to the business. And guess what?! It worked! But like any good plot twist, it came with its own set of drama: 1. Cloud workloads are now mainstream Multi-cloud is the new black, but it comes with its own set of headaches. New tools, processes, policies, you get the idea. Companies like Capital One are multi-cloud and use both AWS and Google Cloud, but integrating these clouds seamlessly? That’s no walk in the park. 2. On-prem isn't dead, it's just...different Take JP Morgan's data centers. They're not moving everything to the cloud because mission-critical, high-availability systems still need the control and reliability of traditional data centers. 3. Customer intimacy is driving some workloads closer to the customer Why? It reduces the latency which of course improves customer experience. When the entire world moved to Zoom during Covid, they optimized their servers because they knew a few milliseconds could make or break a customer interaction. 4. Edge computing is having its moment It's great for site-specific workloads (like manufacturing). Just look at Tesla, which uses edge computing in its cars for real-time data processing, pushing workloads to remote sites, and ensuring data sovereignty and regional privacy are respected. 5. Work from anywhere Everyone loves a flexible workplace…except IT. Endpoint allocation, network access, app provisioning...it's enough to make your head spin! But the problem isn’t just which IT asset management (ITAM) solution to pick (Oomnitza, obviously). It’s also: ➝ Getting an integrated, bird’s eye view and ensuring your data is accurate, current, and not struggling to manage data in some forgotten spreadsheet. ➝ Create automated, continuously optimized processes that cut through tech silos. The future of IT isn't just about managing assets—it's about wrangling this entire digital circus while actually getting some sleep at night. So ditch the manual headaches and embrace the tools that'll make you the superhero of your company. Cape optional, but highly recommended.

The future of work is evolving with the rise of agentic #AI - systems that can perceive, reason, and act independently to execute complex tasks across business functions.   At NVIDIA #GTC25 last week, Deloitte introduced Zora AI, an #AgenticAI platform built on the NVIDIA stack, designed to augment the workforce and transform enterprise operations.   The most impactful evolutions we’re seeing: ✅ AI agents are becoming digital coworkers: These systems can collaborate with humans and other agents, automating high-volume tasks in areas like finance, supply chain, and customer service, enabling employees to focus on strategic work. ✅ Real-world impact is measurable: Early adopters are starting to see productivity gains. For example, companies using AI agents for finance processes have cut costs and improved decision-making speed through real-time data analysis and scenario modeling. ✅ Rapid deployment and adaptability matter: Platforms like Zora AI are designed for flexibility - integrating with existing technologies and adapting to industry-specific needs, accelerating time to value.   As AI capabilities advance, organizations will need to rethink work design, governance, and how to foster trust in autonomous systems. How do you think the shift to an AI-augmented #workforce will unlock new ways of working and delivering value?   Read more: https://deloi.tt/41G9Mwh

The tech industry has seen three massive tectonic shifts in the last 25 years, with each building on the next to improve the way we interact with our work and each other. 1) The first — in the early 2000s — was the shift to the cloud. I remember how quickly things moved and progressed once information was freed from on-premises systems. The efficiency boosts early adopters saw set them ahead of the pack. All of a sudden, those businesses were able to synchronize their processes and systems, and they could just execute faster than their competition. 2) The second shift was when IT and consumer products began to merge. By the time this began, we had all these great consumer apps for personal communications, but work was still all about email, phone calls, and websites. Then, the paradigm of instant communications and more casual connections started to bleed into offices through apps like Yammer and Slack. They felt very much like how we communicate and collaborate in our personal lives, and it strengthened connections in offices greatly. Now, that journey has been realized almost completely; we all live in apps these days, and our increasingly nimble technologies are helping us collaborate and get the right answer faster and more reliably. When the mobile revolution layered on top of this, things sped up even more. Seemingly overnight — and you can see it today with products like Zoom — we were all able to speak with anyone in our networks, face-to-face, in just a few clicks. We’ve all but nailed communication and collaboration. 3) I believe AI will be the final piece to the efficiency puzzle as it is allowing for automation in new and powerful ways. Yes, AI has been around for a long time — and we've had it in the Salesloft platform for nearly as long — but its accessibility and diversity of applications are huge unlocks. We can now start to interpret signals more clearly and quickly. Essentially, analytics give us a whole new type of indirect communication between buyers and sellers. It’s the next tectonic shift, and it's already started. #artificialintelligence #aiinsales #revtech #salestech #revenueorchestration

“Technology changes what we do, but not who we are. The human touch will always matter.” – Tim Cook What a great discussion over dinner last night on the technology market’s evolution, AI's impact, and how talent acquisition is playing a pivotal role. The discussion hosted by Randstad Digital and Torc included … - Francisco D'Souza (Managing Partner & Co-Founder at RECOGNIZE, Fortune 500 board member, and former CEO & Vice Chairman of Cognizant) - Graig Paglieri (Chief Executive of Randstad Digital) and - Michael Morris (CEO and Co-Founder of Torc) Here are some of my top take aways ... 1. With the current acceleration and frequency of change, it is the companies that can respond fastest that will have the advantage. 2. The current talent shift has similarities to the offshoring of technology talent in the early 2000’s, but this will be more profound. 3. Future workforces will be a combination of full time resources focused on a business’ core, traditional consulting, digital labor (agents), and open talent (gig economy) that will allow you to flex a wide range of skillsets up and down quickly. 4. There is a tremendous fragmentation of tech going on right now. In the past, there were simple enterprise tech stacks. Now these stacks have hundreds of pieces of disparate technology. 5. Every technology has an adoption cycle. This AI cycle is “change management on steroids”. We might not be prepared for the speed of change.  6. We should be focused on building AI that is human friendly. Unfortunately, some people are holding AI to a higher standard than they hold humans. Others are forming an “us vs. them” mentality which is dangerous. 7. Agents will arrive, with many commodity agents being built by third parties (e.g., Workday, Salesforce). Agents that differentiate will primarily be built bespoke by companies. 8. Talent loyalty currently sits with skillset tribes (e.g., a Salesforce or AWS engineer). In the future, loyalty will likely shift to communities facilitated by career platforms. These will be a resource throughout your entire career lifecycle from university to retirement. 9. Jobs will change, but there isn’t evidence of a significant software engineer reduction at the moment. As the search for talent becomes harder, you will see organizations and platforms more proactively identify pools of talent leveraging the community model. 10. This is the first time we have rolled out probabilistic systems so extensively at scale in organizations. Things will change, but we will figure out how to make this work. While there is still a lot of uncertainty, proactive companies are thinking about the above, how to respond, and how to pivot quickly as things inevitably change. Thank you for the invite Adam Bilinski! #continuouslearning 

– The remote work conversation in 2025 is evolving, not ending. Remote jobs draw over half of all applications, despite making up less than 15% of postings, showing a clear demand for flexibility. – Hybrid models are taking center stage, combining in-person connection with the freedom of remote work. Companies adopting this approach are seeing stronger retention and employee satisfaction. – Training remains a key challenge. Only 28% of managers are trained for hybrid environments, yet targeted programs are closing that gap and improving team effectiveness. – Rapid tech advances are also fueling this shift. From AI automating routine tasks to VR enhancing collaboration, the future of work is less about where we work and more about how we work. Looking ahead, what do you think will be the state of remote and hybrid work at the end of 2025?