Author name: EngageInsights

Operationalizing AI: why managed services is the ideal place to start follow

Operationalizing AI: why managed services is the ideal place to start In today’s complex AI landscape, operationalizing AI often halts at the proof-of-concept stage. Managed services provide a strategic entry point, securing and centralizing enterprise data to facilitate smoother AI deployment and scaling. With AI-driven automation, businesses can lower support costs by up to 50% […]

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The agility paradox: Why traditional IT maintenance is hindering business and what to do about it

The agility paradox: Why traditional IT maintenance is hindering business — and what to do about it In today’s fast-paced market, agility is crucial for business success. However, traditional IT maintenance creates a burden that stifles innovation, increases technical debt, and diverts resources away from growth-oriented initiatives. This whitepaper introduces EvolvOps, a proactive approach that

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Top 10 Recommendations for a Successful Enterprise data mesh implementation

10 recommendations for a successful enterprise Data Mesh implementation Thoughtworks has been implementing Data Mesh since it was first introduced by Zhamak Dehghani, a Thoughtworker at the time, in 2019. Since then, we’ve implemented Data Mesh with clients globally. The following is a set of 10 recommendations that are based on insights we have gained

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Unlocking Digital Product Success Achieving Scaled Adoption And ROI

Unlocking Digital Product Success Achieving Scaled Adoption And ROI Unlocking the potential of digital products is essential for organizations aiming for scaled adoption and strong ROI. This whitepaper highlights the dynamic nature of software-driven products, which require continuous testing, learning, and iteration. Key challenges include organizational silos, scaling difficulties, and underperforming ROI.  Leaders emphasize the

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Drive measurable AI success – Make the transition from concept to reality

Drive measurable AI success – Make the transition from concept to reality Discover how to transition your AI strategies from concept to impactful reality. This whitepaper by Thoughtworks outlines a proven framework encompassing: Core Technical Capabilities: Building scalable AI platforms and robust data foundations. Governing Structures: Ensuring responsible AI adoption with compliance and ethical safeguards.

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Kickstart your legacy modernization initiative with generative AI

Kickstart your legacy modernization initiative with generative AI Legacy systems often hinder business progress due to their complexity, outdated technology, and poor documentation. This whitepaper highlights how generative AI can address these challenges by accelerating tasks like reverse engineering codebases, filling skill gaps, and boosting productivity. Real-world examples show how organisations cut modernisation timelines and

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Modern data engineering playbook

Modern data engineering playbook The Modern Data Engineering Playbook by Thoughtworks highlights strategic methods for maximizing data’s potential through modern practices. It encourages shifting to a mindset where data is treated as a product that prioritizes user needs, ensuring greater engagement and value. Key engineering practices such as test automation and continuous integration are advocated

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You can’t buy data management

You can’t buy data management In today’s aviation landscape, data management is critical yet cannot be bought off-the-shelf. This whitepaper explores why key elements—such as data integration, customer relationships, and quality—are cross-cutting capabilities unique to each airline. Thoughtworks emphasizes that while platform tools and strategic partnerships can enhance data capabilities, they cannot replace the responsibility

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The AI research assistant Follow

The AI research assistant In the fast-evolving healthcare and life sciences (HCLS) sector, R&D teams face mounting data and knowledge management challenges. Thoughtworks introduces the AI Research Assistant, Thoughtworks introduces the AI Research Assistant, a methodology that transforms fragmented data into actionable insights. This digital assistant accelerates knowledge retrieval, interpretation, and creation, driving efficiency and empowering R&D

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