Weekly IT Insights: ITTech Pulse’s Top Trends and Essential Reads for February (02- 06)
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Catch up on the biggest stories in tech with ITTech Pulse’s weekly update. From February 02 to 06, we highlight the latest advancements across Agentic AI, Natural Language Processing, cloud, cybersecurity, data management, ChatGPT, Generative AI, Digital Transformation, and beyond. Discover expert viewpoints, track evolving trends, and stay prepared for upcoming IT events and essential industry concepts driving innovation forward.
Tech Trends Weekly: Major Updates from the IT World
1. Couchbase Expands Executive Team to Boost Customer Success and Security
Couchbase, Inc. has expanded its executive team to drive enterprise growth and customer success. Joe Remington joins as Chief Business and Transformation Officer, Eddie Garcia as Chief Information Security Officer, and Chelsea Navo as SVP of Customer Success. Their leadership strengthens transformation, security, and AI-ready data strategies, helping customers reduce risk, scale confidently, and achieve measurable business results.
2. Siemens Acquires Canopus AI to Boost Precision in Semiconductor Metrology
Siemens has acquired Canopus AI, to strengthen its AI-driven metrology capabilities in semiconductor manufacturing. The move enhances wafer and mask inspection, improves yield, and supports advanced process control. By integrating Canopus AI into its EDA portfolio and digital twin strategy, Siemens aims to boost precision, accelerate production, and help chipmakers meet rising demands for advanced semiconductor innovation.
3. LTIMindtree Named Leader in Everest Group Payments IT Services PEAK Matrix 2025
Everest Group named LTIMindtree,, a Leader in the Payments IT Services PEAK Matrix 2025. The company drives large-scale payments modernization with strong platform partnerships and AI-powered solutions through BlueVerse™. It supports real-time, cross-border, and ISO 20022 payments while ensuring compliance and security. Its expertise in payment hubs, fraud prevention, and agentic AI strengthens its position as a strategic transformation partner.
4. Opentrons and NVIDIA Advance Physical AI Robotics for Autonomous Labs
Opentrons Labworks Inc. is accelerating AI-powered lab automation through a strategic partnership with NVIDIA. By using NVIDIA Isaac and Cosmos, it generates real-world training data for physical AI models. With over 10,000 deployed robots, Opentrons connects AI-driven drug discovery with automated lab execution, enabling continuous learning, faster experimentation, and a closed-loop system that speeds scientific breakthroughs.
5. Cognizant and Palantir Partner to Accelerate AI Modernization in Healthcare
Cognizant has partnered with Palantir Technologies Inc. to accelerate AI-driven modernization in healthcare and other industries. It will integrate Palantir Foundry and AIP into its TriZetto platform to improve workflows, innovation, and compliance. By combining Palantir’s AI capabilities with Cognizant’s industry expertise and scale, the companies aim to deliver secure, governed, enterprise-grade AI solutions that drive measurable business outcomes.
6. Gallea Ai Joins IBM Partner Plus to Accelerate Secure AI Adoption for SMBs
Gallea Ai, has joined IBM Partner Plus as an IBM Business Partner to help SMBs move from AI testing to secure, production-ready deployment. By combining IBM’s AI and hybrid cloud technologies with its AI Implementation Framework, Gallea Ai enables faster, lower-risk adoption. The partnership strengthens its ability to deliver scalable, governed AI solutions across North America and the UK.
7. Cohesity Partners with Google Cloud to Deliver Secure Sandbox and Threat Insights
Cohesity has enhanced its Data Cloud by embedding Google Threat Intelligence and Google Cloud, Private Scanning. These features enable real-time threat insights, secure sandbox malware detonation, and deeper analysis directly within the platform. By detecting hidden threats in backup data, Cohesity helps organizations respond faster, reduce risk, and strengthen cyber resilience without adding operational complexity.
8. Wrike Launches AI Agents for Autonomous Workflow Intelligence
Wrike,has launched AI Agents that go beyond chat to execute complex tasks directly within workflows. Adoption surged 4,900% during preview, with agents now driving 23% of AI activity and saving users up to 10 hours weekly. Built for enterprise security and governance, these agents automate multi-step tasks, improve productivity, and act as trusted digital teammates.
Weekly Roundup: Expert Views on IT Trends
ITTech Pulse Exclusive Interview Khadim Batti, CEO and Co-Founder at Whatfix
ITTech Pulse’s Weekly Voice: From the Expert
Khadim Batti explains that UI-first automation helps AI work directly through application interfaces, overcoming API limits. Seek automates complex configuration tasks, reduces execution delays, and supports digital transformation. It follows a human-in-the-loop model to ensure trust and governance. After proving success in Salesforce, Seek now expands to cross-application workflows, helping enterprises embed AI into everyday operations.
Must-attend Cybersecurity Events and Conferences of 2026 – Part 2
Enterprise GenAI pilots fail because they lack clear goals, system integration, governance, and measurable ROI. Many focus on chat tools instead of real business outcomes. Agent-first strategies solve this by building outcome-driven, integrated, and governed AI agents tied to operational KPIs. This approach embeds AI into core workflows, delivers measurable impact, and enables scalable, enterprise-wide value.
Don’t Miss These Must-Read Articles of the Week
Why Enterprise GenAI Pilots Fail — and How Agent-First Strategies Are Replacing Them
Must-catch Staff Article
Enterprise GenAI pilots fail because they lack clear goals, system integration, governance, and measurable ROI. Many focus on chat tools instead of real business outcomes, which limits scale and impact. Agent-first strategies solve this by building outcome-driven, integrated, and governed AI agents tied to operational KPIs, enabling scalable automation, measurable business value, and sustainable enterprise-wide transformation.
What Are the Steps to Design Agentic Systems for Scale?
Enterprises adopt agentic systems because traditional AI cannot manage complex, multi-step workflows at scale. Agentic AI adds autonomy within defined boundaries, using roles, memory, orchestration, and governance to ensure control and accountability. With strong architecture, observability, and staged deployment, organizations can scale AI reliably. Success depends on disciplined design, clear metrics, and balancing autonomy with risk management.
AI Quote of the Week
“Digital initiatives fail in the last mile of execution. Seek changes that by becoming a hands-on AI teammate that completes real configuration work, turning strategy into measurable outcomes.”-Interview with Khadim Batti, CEO and Co-Founder at Whatfix.
