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Want more AI? Make sure that you're "feeding the machine"
Want more AI? Make sure that you're "feeding the machine"
As organizations plan to scale up their use of Artificial Intelligence (AI) and machine learning (ML), they quickly…
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Scott Buchholz reposted thisJapan's quantum ecosystem is coming to #QWC2026 🚀 We're excited to bring a group of innovative Japanese quantum startups to the stage and connect with researchers, industry leaders, investors, and potential partners from around the world. Hope to see you there! OptQC Corp. 株式会社Yaqumo LQUOM株式会社 QuEL, Inc. JIJ Quanmatic Inc.Scott Buchholz reposted thisNEDO is bringing Japanese quantum startups to #QWC2026 ! Join us for an overview of Japan’s quantum ecosystem and startup pitches highlighting technologies, businesses, and opportunities for collaboration in North America. 📅 Sep 24 | 3:00–3:45 PM(EDT) 📍 Jim Henson Room, 4F 🇺🇸🔗 https://lnkd.in/gx6b9js8 #NEDOEvents
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Scott Buchholz shared thisAs quantum computing moves closer to commercial reality, it could be paving the way for new career paths. Instead of today's software engineers and data scientists, think "Quantum Information Scientists." In a recent conversation with Kari McMahon at LeadDev, I discussed the state of quantum and why it’s opening the door for new career paths for today's and tomorrow's workforce. We talked about quantum technology going beyond learning another programming language or software library. QIS it requires a fundamentally different way of thinking. For leaders building quantum-ready teams, the takeaway is clear: invest early in technical talent and give teams the runway to learn. Read more: https://deloi.tt/4iFuZ3m #QuantumComputing #SoftwareEngineering #TechTalent #Deloitte #EmergingTech #WorkforceStrategy Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Alison Cizowski, Alexandra Frole, Deanna Solomon
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Scott Buchholz shared thisThe business case for quantum doesn’t have to start years down the road. Instead, with quantum-inspired tools, it can start now. In Accounting and Business (AB) Magazine, I discussed how those tools are already delivering ROI on today’s systems from faster derivative pricing and risk modeling to stronger fraud detection. Looking into the future, as commercial quantum systems are projected to start coming online in 2028–2029, those organizations with steady, long-term commitment will be the ones that lead. Read the full article here: https://lnkd.in/ecpfPFUg Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Alison Cizowski, Alexandra Frole, Deanna Solomon
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Scott Buchholz shared thisImagine it's 2028. As you take control of your spiffy new data center, your CEO leans over and asks, "I just saw that a quantum computer is solving real problems. We've got space planned for one of those, right?" Sound like science fiction? Increasingly, quantum computers are moving from science fiction to science fact. You may not be installing one in your new data center in two years, but are you comfortable continuing to take that bet into 2030? Quantum computers may not have the power requirements of a power hungry rack of GPUs, but many have vibration isolation or other specialized requirements that may not make them well suited for raised floors and standardized racks. Moreover, those new quantum computers not only have different physical requirements, but they have very different programming requirements. If it takes years for people to develop competency (just like learning data science from scratch), what is your confidence that you will be ready? If you're curious, read more here: https://lnkd.in/eNYEaRqQ Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Alison Cizowski, Alexandra Frole, Deanna Solomon, Katherine NoyesBuilding out infrastructure? Don’t overlook quantumBuilding out infrastructure? Don’t overlook quantum
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Scott Buchholz shared thisWhat can be done while we await the very first 'at scale' quantum computers are projected to start materializing around 2028? After all, those machines will still be very challenging to use and limited in access. In short, is it possible to eat your cake and have it too? The answer, increasingly, is "yes." Newly devised techniques ("quantum-inspired techniques") utilize the math of quantum physics but run on today's classical machines. From machine learning "turbochargers" that can dramatically improve fraud detectors and predictive models in hard places to replacement techniques for monte carlo models in finance for risk calculations, these quantum-inspired techniques are growing more powerful and more accessible. In addition, learning how they work helps you and your team get a jump start on how quantum computers operate "under the hood" - a journey that often takes years. The time has come! Lean in to what's possible! Read more here: https://lnkd.in/ebeHKxd3 Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Alison Cizowski, Alexandra Frole, Deanna SolomonHow Leaders Can Pursue A Strategic Path To Quantum ComputingHow Leaders Can Pursue A Strategic Path To Quantum Computing
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Scott Buchholz shared thisAs the demand for AI continues to grow by leaps and bounds, the energy demand to support it increases too. That raises the question: will quantum make the energy problem better or worse? Like so many things in quantum, the answer is, "It's complicated." In Pam Baker's recent InformationWeek article, I shared that while quantum systems’ power requirements vary by approach, they tend to have general upper bounds. Cryogenic systems use energy for cooling, but not to calculate. Laser powered systems use energy to power the lasers but not to run the optics. These systems overall energy use is largely capped and lower than or comparable to that of a modern high-performance computing rack. And, admittedly, these systems do require complex classical computing to work properly, so it's unclear what the exact impact will be in the future. That also sets aside the thorny question of whether or how quantum computers might be able to support the large language model and other AI processing that is posing the problem. This is also an open question. In summary: quantum is not an immediate answer to AI energy challenges. Understanding its potential and possible tradeoffs is an important step toward preparing for the next era of computing. Read more: https://lnkd.in/e8jy_ZM8
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Scott Buchholz shared thisQuantum computing's advantage in financial services is still evolving, but leaders are laying the groundwork today. At our financial services Quantum Readiness forum last week, we hosted an executive roundtable and networking reception in Chicago to help financial services organizations navigate the complexities and opportunities of quantum readiness. Quantum-inspired methods are already improving fraud detection and risk modeling today, and many leading firms are exploring post quantum cryptography and other security upgrades to prepare for what's next. I was joined by my Deloitte colleagues Kathy Scherer and Mekena McGrew, PhD, as well as Berk Kovos from IBM, and Peter Noell from Infleqtion. We also hosted C-suite leaders as we explored where quantum can create value today and Prepare to win in financial services. Deloitte Quantum Computing Services: https://lnkd.in/gwN-y9pG #DeloitteQuantum #QuantumComputing #DeloitteFinancialServices #IBMQuantum #Infleqtion Esther Han, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Aruna Iyer Audrey Adib-Yazdi
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Scott Buchholz shared thisIs quantum computing growing up? That's the question I was asking myself while sitting in some recent conferences. Whether it was the recent announcement from our partners at Amazon Web Services (AWS) and QuEra Computing Inc. or listening to recent advances from major banks and other providers, it's clear that we're getting ever closer to that moment where quantum computers start exceeding our current classical capacity. But let's be clear: there's still a lot of very hard work between here and there. Working through interesting problems that fit the capacity, refining the algorithms and approaches, and getting value from the first 'at scale' quantum computers will still be wicked hard. It's still early days, but way more exciting ones! We might have missed the 50's and 60's when folks were excited about the future of classical computing, but the future of quantum computing feels like that. Onward and upward! Read more here: https://lnkd.in/gvSAbGYC Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Ed Burns, Abria Perry, Whitney Metzger, Sarah ShinerQuantum's awkward middle years are finally getting interestingQuantum's awkward middle years are finally getting interesting
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Scott Buchholz shared thisWhat if there was a way today to get value from quantum computing, even while the technology changes from science fiction to science fact? The good news is that there are, increasingly, ways to get ROI from 'quantum-inspired' techniques today. These approaches utilize the math that underlies quantum physics, but run on today's classical technology (CPUs and GPUs.) They're still relatively new, not widely known, and often misunderstood. But they are being deployed quietly into production environments today. If you want ideas, consider the following: 1. Improve machine learning (ML) prediction - for fraud detection or predictive models, consider using Quantum Tensor Engine™, a feature engineering plugin for existing ML pipelines. Built originally for financial payment fraud detection, it's like a turbocharger for your existing ML. 2. Monte Carlo replacement - for Value at Risk and derivative pricing, consider using rapidly evolving techniques to exactly calculate your answers faster than monte carlo techniques can estimate them. 3. ... and more ... If you want a framework for evaluating these innovations, consider the article Mekena McGrew, PhD discusses below. Today is the day to start your quantum journey! Bill Briggs, Amit Chaudhary, Brett Davis, Ranjit Bawa, Vineet Gupta, Jason Wainstein, Ed Van Buren, Colin Soutar, Alan Holden, Heather Reilly, Mekena McGrew, PhD, Esther Han, Diana Kearns-Manolatos, Natasha Buckley, Stacy O'Neil Jackson, Daniel Ryan, Andrew Stiles, Shannon MoselleScott Buchholz shared thisMy first Deloitte Insights article is live — and it reflects one of the most important lessons I’ve learned building and delivering value through quantum programs: Quantum readiness does not start when fault-tolerant quantum computers arrive — which is very soon. It starts now. Quantum-thinking methods like tensor networks give organizations a practical way to create value today on classical hardware — in areas like simulation, optimization, machine learning, fraud, compliance, and risk — while building the technical muscle needed for future quantum deployment. Quantum-inspired is not a substitute for quantum computing. It is a milestone on the path to it. That matters because many of the hardest parts of running algorithms on early fault-tolerant devices will not be solved by hardware alone. Organizations will need to know how to: • Translate messy business problems into mathematical formulations • Benchmark against classical baselines • Build trusted workflows around model outputs • Decide when to scale, explore hybrid/quantum approaches, or stop • Develop teams that understand how quantum approaches actually work In this article, Scott Buchholz and Shannon Moselle, and I lay out a four part framework for using quantum-inspired methods to reduce expensive guesswork, deliver measurable business value, teach through delivery, and build readiness for the quantum future. I’m proud this is my first published piece, because it draws on my experience spanning quantum algorithm and application research and how to deliver these solutions in large scale enterprises. Would love to hear how others are thinking about the bridge from quantum-inspired value today to early fault-tolerant quantum tomorrow. https://lnkd.in/e79MQEXT Thank you Steven Gibson and Mykola Maksymenko for providing valuable insight from your experience delivering quantum solutions to enterprise. #QuantumComputing #QuantumInspired #QuantumReadiness #EmergingTechnology #Innovation #TechnologyStrategyQuantum computing is coming. How to reduce expensive guesswork to build business value nowQuantum computing is coming. How to reduce expensive guesswork to build business value now
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Scott Buchholz liked thisScott Buchholz liked thisThree days at the QuEra Quantum Alliance (quera.com/partners) annual meeting in Boston left me with a lot of notes, several unfinished arguments, and one clear conclusion: “When will quantum computing be useful?” is becoming the wrong question. A better question is: what can we do with each generation of machine, and what else in the stack must improve to make that possible? Five things stayed with me. 1. Megaquop is coming, and the field knows it. Libra is designed to perform roughly one million reliable logical operations using more than 256 error-corrected logical qubits. It is coming to Amazon Braket in 2028. That does not mean every quantum application becomes useful in 2028. It means we can stop debating a foggy future and start asking which applications fit inside a million reliable operations. 2. Software can make the hardware more capable without adding a single atom. Better error-correction codes, compilers, decoders, and circuit designs can reduce the resources required for an application, sometimes dramatically. A resource estimate is therefore not a law of nature. It is a snapshot of the best approach we know today. 3. AI is becoming a laboratory colleague. In a recent QuEra collaboration with Anthropic, a controller developed by a Claude agent recovered a laser lock in 695 of 700 timed trials. Most faults cleared in under six seconds, and the resulting configuration reduced residual noise by a factor of five. I find this more interesting than another slide about the future convergence of AI and quantum. It is already doing useful work on the machine. 4. A small qubit number can hide a very large clock. One resource estimate discussed at the meeting reduced the requirement for factoring RSA-2048 to roughly 10,000 physical qubits. The estimated runtime was about 120 years. Congratulations, you saved the qubits and lost a century. Qubit count, error rate, runtime, and connectivity have to be considered together. 5. A quantum computer will not live alone. It will sit alongside CPUs, GPUs, storage, scientific software, and AI systems. Classical computers will handle compilation, decoding, orchestration, and much of the surrounding workflow. Quantum is increasingly an HPC systems problem. One less glamorous number also matters to me: uptime. Aquila has been available through Amazon Braket since 2022. It now provides 130 hours of weekly availability at consistent 99% uptime, and researchers have published more than 60 papers using Aquila data. Roadmaps matter. So does keeping the machine running. The reason we call this an Alliance is that no company can be strongest across this entire stack. Thank you to everyone who presented, questioned assumptions, compared notes, and occasionally disagreed. Which of these deserves its own post? More science, less fiction. The picture is from our dinner cruise on the Charles. So. Much. Fun!
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Scott Buchholz liked thisScott Buchholz liked thisWe just wrapped up the third annual QuEra Quantum Alliance, and it was our biggest one yet. Partners joined us in Boston from all over the world for several days of intensive teaching, learning, and connecting. Watching this community grow larger every single year, and get closer each time, is genuinely one of our favorite parts of building this company. We envision a world where quantum computing is a trusted tool for solving the problems that matter most in science, industry, and society. None of that happens without partners like ours, and we are grateful for every one of you who made the trip. Oh, and one more thing: our opening reception featured a live set from our CEO, Andy Ory, and his band on a Boston rooftop. Not your typical way to kick off a partner summit, but it set exactly the right tone for the days that followed. If you're not one of our partners yet, join us in time for next year's meeting so you don't miss Andy's band again (no guarantees, this is quantum after all). #QuEra #QuantumAlliance #QuantumComputing #QuantumCommunity #FutureOfComputing
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Scott Buchholz liked thisScott Buchholz liked thisExcited to announce that I've been named a finalist for Chief Investment Officer of the Year in the 2026 ThinkAdvisor Luminaries Awards! Seems like a pretty good reason to make my first ever trip to New York. Thanks to ThinkAdvisor for including me with a really impressive group of finalists! Looking forward to December.
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Scott Buchholz liked thisScott Buchholz liked thisLooking forward to the #QWC2026 in Maryland next week. Quantum World Congress has always been the place to be to shape the future of the technology and develop key partnerships. Join us for two conversations on Quantum in Life Sciences. 1- A workshop to be led by Carl Saab, Chief Scientist of our Discovery Accelerator on 9/23 at 3:15pm about defining quantum applications in life sciences. Speakers will be Geetha S.from The National Institutes of Health, Jason Silbergleit from Classiq, James Kozloski from IBM, Mark Gerstein from Yale University, and innovators from Kipu Quantum, Singularity Quantum, Entangle bio, and PolarisQB. 2- A talk I will give on 9/24 at 3:45pm on building a quantum ecosystem and roadmap in life sciences. Looking forward to perspectives and insights from all! https://lnkd.in/dznwiwnY
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Scott Buchholz liked thisJapan's quantum ecosystem is coming to #QWC2026 🚀 We're excited to bring a group of innovative Japanese quantum startups to the stage and connect with researchers, industry leaders, investors, and potential partners from around the world. Hope to see you there! OptQC Corp. 株式会社Yaqumo LQUOM株式会社 QuEL, Inc. JIJ Quanmatic Inc.Scott Buchholz liked thisNEDO is bringing Japanese quantum startups to #QWC2026 ! Join us for an overview of Japan’s quantum ecosystem and startup pitches highlighting technologies, businesses, and opportunities for collaboration in North America. 📅 Sep 24 | 3:00–3:45 PM(EDT) 📍 Jim Henson Room, 4F 🇺🇸🔗 https://lnkd.in/gx6b9js8 #NEDOEvents
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Scott Buchholz reacted on thisScott Buchholz reacted on thisAfter 35+ consulting years, the time has come to 'hang it up' ! Deloitte, A.T. Kearney and Andersen Consulting gave me the greatest opportunities to learn, fail, grow, explore,... Over and over... Am most grateful ! And, to all the amazing colleagues - consultants and clients and alliance partners - whom I learned from, and even shared laughs with, THANK YOU for the memories !
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Scott Buchholz liked thisScott Buchholz liked thisHello World! I’ve had several new connections join my network lately, so I wanted to take a moment to introduce myself. I am a proud first-generation college graduate and the son of Peruvian immigrants. Growing up in a low-income zip code, I was an honor roll student-athlete who played three sports - football, soccer, and track (300M hurdles) - while balancing two part-time jobs. At the time, I was simply focused on moving forward. My path has not been linear. I dropped out of college after one semester to help my mother make ends meet and raise my younger brother, spending years paying off debt just to get my transcript released. Statistically, someone in my situation had less than a 1% chance of ever graduating. Refusing to give up on my goals, I enrolled in roughly one class per year at community college, paying my own way until I eventually transferred to the NC State Poole College of Management. After graduating, I was recruited into management consulting - a field where the average tenure is about six months - and I am now approaching 10 years in the industry. That same self-belief and stubbornness have defined my career. I am currently focused on Quantum Computing, having previously led AI/ML and Agentic AI launches. Leveraging my experience in consulting and product management, I’ve harnessed a unique ability to simplify complex challenges while building meaningful relationships with leaders from analysts to executives. To date, I have: - Unlocked $120M+ in revenue with 57% YoY growth by deploying and scaling first-of-a-kind products in risk-averse environments. - Built self-service launch frameworks utilized across 100+ product teams. - Led global alignment across 30+ executives. - Reimagined product GTM, improving release cycles from 12+ months to a monthly cadence. - Served as a founding member of an ERG for Women in STEM to increase exposure to senior leadership. - Mentored numerous professionals on navigating corporate environments and mental health. I am always happy to connect with people working in #AI, #emergingtechnology, #productstrategy, #ethicalgovernance, and #productops - or anyone navigating a career path that didn't come with a map. I’d love to hear your story too. Let's connect! P.S. Below are a few pictures from the archives - my first day at Deloitte consulting and me as a kid, unbothered and enjoying the moment.
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Scott Buchholz reacted on thisScott Buchholz reacted on thisSome news: Last week I stepped into a new role as Chief Commercial Transformation Officer for Schneider Electric, leading Customer Experience and Commercial Transformation. Three years ago this month, I joined Schneider in the Secure Power division, leading Strategy & Sustainability — deep in the fast-changing world of data centers. From there, I had the opportunity to broaden that remit and lead Strategy & Sustainability for Energy Management, our largest business unit — keeping me close to data centers while extending my scope well beyond them. And now I have the privilege of taking that journey Schneider-wide. This next step feels natural. The last three years were about helping shape where we should go. This new role is about making that direction real: how we grow, how we sell, how we equip our people to win, and ultimately how customers and partners experience Schneider. Technology is accelerating faster than at any point in my career, and I find that genuinely thrilling. But speed alone doesn't win. Three things I believe going in: 1. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐚𝐧'𝐭 𝐛𝐞 𝐞𝐩𝐢𝐬𝐨𝐝𝐢𝐜.When technology, business models and competitive boundaries are shifting this quickly, transformation has to become how we operate. 2. 𝐎𝐮𝐫 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐦𝐨𝐝𝐞𝐥 𝐡𝐚𝐬 𝐭𝐨 𝐞𝐯𝐨𝐥𝐯𝐞 𝐚𝐥𝐨𝐧𝐠𝐬𝐢𝐝𝐞 𝐨𝐮𝐫 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 — from pricing and sales effectiveness to digital and e-commerce, while continuing to strengthen the distributor relationships that have differentiated Schneider for decades. 3. 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐰𝐢𝐥𝐥 𝐜𝐨𝐦𝐞 𝐧𝐨𝐭 𝐨𝐧𝐥𝐲 𝐟𝐫𝐨𝐦 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐬𝐞𝐥𝐥, 𝐛𝐮𝐭 𝐟𝐫𝐨𝐦 𝐡𝐨𝐰 𝐢𝐭 𝐟𝐞𝐞𝐥𝐬 𝐭𝐨 𝐝𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐮𝐬. There's a lot for me to learn, so I'm starting close to the ground — with customers, partners, sales teams and the people already doing the work. To the leaders and teams who took bets on me, taught me the business and gave me room to learn: thank you. Three years in, still learning. Can't wait for this next bit. With particular thanks to: Pankaj Sharma - for the original leap of faith, bringing me into SE Frederic Godemel - for being my guide & mentor in Energy Management Laurent Bataille - for the next chapter Jing REN - one who continues to guide
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The Many Potential Benefits of Serverless Computing
WSJ CIO Journal
The emerging cloud service can reduce costs and speed deployment times for many business customers, with those advantages often outweighing concerns about vendor lock-in.
Other authorsSee publication -
Tech Trends 2017 - Inevitable architecture: Complexity gives way to simplicity and flexibility
Deloitte University Press
How is your IT systems architecture holding up? CIOs are struggling with the challenge of keeping systems current while incorporating cloud, mobile, analytics, and other disruptive technologies. The path to modernization begins with automating routine tasks and revitalizing your technology stack.
Other authorsSee publication -
8 Tech Trends in the Public Sector
WSJ CIO Journal
From augmented and virtual reality to blockchain, emerging technologies offer the government new avenues for providing services, engaging employees, and serving citizens.
Other authors -
Reimagining Heart-of-Business Core Systems
WSJ CIO Journal
Accelerating digital transformation and emerging technologies are driving organizations to revitalize decades-old legacy core systems. We share tips to help you create an actionable plan for modernizing your core legacy systems.
Other authorsSee publication -
Tech Trends 2016 - Reimagining core systems
Deloitte University Press
Revitalizing legacy core systems is becoming an even greater strategic imperative to drive untapped value due to accelerating digital transformation and emerging technologies such as sensors, connected devices, blockchain, and cognitive computing.
Other authorsSee publication -
Revitalize Core Systems for Strategic Growth
WSJ CIO Journal
Legacy systems built over decades can be complex and expensive to maintain, but leading organizations are treating their core not as a problem, but as a foundation for enterprise experimentation and growth.
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Tech Trends 2015 - Core Renaissance
Deloitte University Press
As focus shifts from performing business processes to enabling innovation, reinvented core systems can form the foundation for growth and new service development.
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How to Calculate Technical Debt
WSJ CIO Journal
To inform non-IT executives of the specific costs and risks posed by aging infrastructure and applications, CIOs are beginning to quantify their IT organizations’ technical debt.
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Reversing Your Organization's Technical Debt
WSJ CIO Journal
IT organizations that regularly repay technical debt by prioritizing code quality and revising software assets tend to spend less on application maintenance, better positioning them to invest in new business capabilities and innovation.
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Tech Trends 2014 - Technical Debt Reversal
Deloitte University Press
Technical debt is a way to understand the cost of code quality and the impacts of architectural issues. For IT to help drive business innovation, managing technical debt is a necessity. Legacy systems can constrain growth because they may not scale; because they may not be extensible into new scenarios like mobile or analytics; or because underlying performance and reliability issues may put the business at risk. But it’s not just legacy systems: New systems can incur technical debt even before…
Technical debt is a way to understand the cost of code quality and the impacts of architectural issues. For IT to help drive business innovation, managing technical debt is a necessity. Legacy systems can constrain growth because they may not scale; because they may not be extensible into new scenarios like mobile or analytics; or because underlying performance and reliability issues may put the business at risk. But it’s not just legacy systems: New systems can incur technical debt even before they launch. Organizations should purposely reverse their debt to better support innovation and growth—and revamp their IT delivery models to minimize new debt creation.
Other authorsSee publication
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