#future of business analytics

[globsynbusinessschool]

[raavenb2619]

I’m not sure when exactly this happened, but I think it’s clear that the aro community really is a community, now.

For the longest time I’ve felt like we were still in stasis, not quite there; a proto-community, yes, but not quite a community. But we have more history now to lean back on, more of each other to talk to and laugh with and cry with and learn from. More people that’ll go forward and make a part of modern aro history. More people that believe us, believe in us, will stand with us if we ask them.

I wouldn’t consider myself an aro elder yet, though each year I’m surprised at how long aromanticism has been a part of my life, how long I’ve been free of doubt or insecurity about my aromanticism, how far we’ve come since I was questioning. Then again, when I was questioning, some of the people I looked up to for guidance were probably close to the age I am now, so I might be there sooner than I think.

And, I’m so so hopeful for all aros, young or old, new or not, because we’ve come so far. Day by day, progress is slow (and yes, it’s unfair, it should be so much faster), but looking back it feels fast. We are our own role models, the people we look up to for guidance. We carve our own path through life, making things up as we go. I used to find that terrifying, because I had no idea what the future would bring. But it’s actually amazing, because I can ignore all these silly “rules” and guidelines about what my life should be, and instead ask, “what do I want my life to be?”

Younger me, you have no idea how awesome your future is gonna be. I’m sorry about the pain and hardship you’ll go through first; it won’t be fair and you shouldn’t have to deal with it. But you’ll make it through, and one day you’ll be me. I can’t wait for you to get here.

[aceofthyme]

for the bttf asks: 😊🎵🖋️🕰️

thank you for the ask my dear friend!!

😊if you could be best friends with one of the characters, who would you choose and why?

I think we all know it would be Doc. Aside from my desperate desire for father figures Those who know me know that I’m very much a science person and that I get up to wild things all the time (like that one time I created a low-powered taser out of items in my purse…or when I built a morse code machine…or all of the chemistry experiments I do in my spare time…I could go on…) and I feel like Doc would not only appreciate that but that we’d have some great project feedback energy. Fluid dynamics (rather than the physics of standard motion or quantum physics) was always my strong suit in the realm of physics, but I was always good at chemistry, and at the very least musical!Doc mentions that chemistry isn’t his strong suit, so that would be a fun little pairing (although of course anything that isn’t Doc’s ‘strong suit’ is still probably leaps and bounds better than the average person). I’m rambling at this point but the summary here is that I think we’d bounce well off each other intellectually and our personalities aren’t super far from each other. I think any of my friends can vouch for the fact that I have a very similar manic energy when I’m in the throes of it y’know?

🎵if you have listened to the musical soundtrack, which song is your favorite and why?

I have not only listened to it but seen it live (four times now! don’t start me on the fact that they’re closing on Broadway I will cry). It’s incredibly difficult to pick a favorite song, so I’ll narrow the criteria a little bit—my favorite song to listen to is different than my favorite song to sing! My favorite song to listen to is probably It Works, but part of that is because I love Doc so much (admittedly it’s also because I laugh when I think about Roger almost ‘falling’ off of the DeLorean when he tries to climb up on it). The ‘who are the girls?’ bit is one of my favorite parts of the show, and I’ll take a moment to talk about that. Back to the Future is a musical that knows it has solid comedic moments. It knows that it breaks some of the walls of normalcy, that it sometimes breaks the fourth wall, that it is built on a framework that allows for a bit of the ridiculous and the fun—and it takes that and embraces it, which is so important for a show like this. You have to be able to have fun with yourself, and know that there’s a little bit of ridiculousness going on, for it to work. I believe this is talked about a bit in the book on the creation of the musical, but it’s absolutely true; this is a show that knows what it is, and that is a major key to success not only in the formation/logic of a show but in connecting with your audience. I’ve now gotten very far away from the question oops My overarching point here is that the reason why the musical works (hah) is because of moments like in It Works, but it’s also just fun for me to put that on while I’m driving and pretend to do the choreo. While driving. The spirit’s there, anyhow,

(I enjoy singing Pretty Baby because I’m a filthy little soprano okay)

✒️you are hired to write/draw a new bttf comic, and it can be about whatever you want. what in the bttf universe would you want to expand on?

Aw man what a great question! Firstly, definitely write, we all know I cannot draw. Secondly. Wow. Okay. There’s a lot here to think about, and this makes me glad that I’ve actually read the comics. I would love to just see…some normal-ish stuff? I know that’s broad, but what I mean is that…I know it’s hard to have a storyline without stakes. You have to have something to push the plot along, to entice the reader, et cetera et cetera. That being said, I’d kind of love to just see Doc and Marty hanging out and being friends, y’know? I’d also love more about Doc’s childhood, or Doc and Clara things, but the friendship between Doc and Marty is so important to me, I’m always down for more of that!

🕰️if you were to insert yourself into the trilogy, what year would you come from?

Hahahaaaaa okay for me personally, the logical answer is the present (2024), but if I like…had the choice of what era I was from (I’m…assuming that’s what this means? I have low comprehension sometimes) that makes the choice a lot harder! I’m a fan of the 1920s and 1940s (the latter in a sense of “I have Jewish generational trauma” okay) but I’m also a massive history nerd and at least one of my alters would absolutely rock with being from like 1860. I think I’m too wild to come from any time earlier, I’d probably be labeled a witch or something. Kind of interested to see what era people would think I belong in, though?

[muhdanas77]

What is Digital Marketing ?

Digital marketing refers to the use of digital channels, platforms, and technologies to promote products, services, or brands to reach consumers. It encompasses a wide range of online marketing tactics and strategies.

Key components of digital marketing include:

Search Engine Optimization (SEO): Optimizing websites and content to rank higher in search engine results pages (SERPs).

Search Engine Marketing (SEM): Paid advertising to appear in search engine results, often through platforms like Google Ads.

Social Media Marketing: Promoting products or services on social media platforms like Facebook, Instagram, Twitter, etc., to increase brand awareness, engagement, and sales.

Content Marketing: Creating and distributing valuable, relevant content to attract and retain a target audience. This can include blog posts, videos, infographics, and more.

Email Marketing: Sending commercial messages to a group of people via email to promote products or services.

Influencer Marketing: Collaborating with influencers who have a dedicated and engaged following to promote products or services.

Affiliate Marketing: Partnering with other businesses or individuals who promote your products or services in exchange for a commission.

Online PR: Using digital channels to manage a company's reputation and build relationships with the media.

Analytics and Data-driven Marketing: Utilizing data analysis tools to measure marketing efforts and optimize strategies based on insights.

Digital marketing allows businesses to reach a global audience, target specific demographics, track and measure results in real-time, and adjust strategies based on performance data. It has become essential for modern businesses looking to grow their online presence and increase sales in a competitive digital landscape.

[2ribu]

Automatisasi Bisnis dengan Kekuatan AI

Automatisasi bisnis telah menjadi topik utama dalam dunia usaha modern. Dengan kemajuan teknologi kecerdasan buatan (AI), perusahaan kini memiliki peluang untuk mengoptimalkan proses mereka, meningkatkan efisiensi, dan mengurangi biaya operasional. AI tidak hanya menggantikan tugas-tugas manual yang berulang tetapi juga membawa kemampuan analisis data yang canggih, prediksi yang akurat, dan…

[tagbintech]

The Future of Corporate Decision-Making: A New Era of Insights and Innovation

In today’s dynamic business landscape, decision-making is no longer confined to boardrooms filled with paper reports and subjective opinions. With the advent of advanced technologies, corporations are redefining how they approach strategic choices. The future of corporate decision-making lies at the intersection of data-driven insights, collaborative tools, and innovative strategies. Let’s explore how this transformation is unfolding and what it means for organizations worldwide.

The Role of Artificial Intelligence in Decision-Making

Artificial Intelligence (AI) is revolutionizing the decision-making process by offering unparalleled data analysis capabilities. Algorithms can process vast amounts of structured and unstructured data, identifying patterns and insights that humans might overlook.

For example:

Predictive analytics helps forecast market trends and consumer behavior.

Machine learning models refine decisions by learning from past outcomes.

Natural language processing (NLP) tools analyze customer feedback for actionable insights.

With AI, corporate leaders can make more informed and timely decisions, minimizing risks and maximizing opportunities.

The Rise of Collaborative Decision-Making Platforms

Gone are the days of isolated decision-making. Collaborative platforms powered by cloud technology are enabling teams to contribute their expertise in real-time. Tools like Slack, Microsoft Teams, and bespoke AI-driven platforms ensure that every stakeholder’s voice is heard, fostering inclusive and transparent decision-making processes.

Key benefits include:

Streamlined communication across departments.

Consolidated data visualization for a unified view of challenges.

Faster consensus building through shared digital workspaces.

Such platforms not only enhance efficiency but also ensure that decisions are aligned with organizational goals.

Data Democratization: Empowering Every Employee

The future of corporate decision-making emphasizes data accessibility for all employees, not just top executives. Data democratization ensures that insights are readily available to individuals across the hierarchy, empowering them to make informed choices in their respective roles.

How it’s achieved:

Implementing user-friendly business intelligence tools like Tableau or Power BI.

Offering training programs to build data literacy.

Establishing secure but accessible data governance frameworks.

This shift not only accelerates decision-making but also fosters a culture of accountability and innovation.

The Impact of Predictive Analytics and Big Data

Predictive analytics, fueled by Big Data, is a game-changer for businesses aiming to stay ahead in a competitive environment. By analyzing historical and real-time data, organizations can predict future outcomes with remarkable accuracy.

Applications include:

Optimizing supply chain operations by predicting disruptions.

Enhancing customer retention through personalized recommendations.

Identifying potential financial risks before they escalate.

These predictive capabilities enable businesses to be proactive rather than reactive, a critical factor in long-term success.

Ethical Considerations in Decision-Making

As technology takes center stage, ethical decision-making becomes increasingly vital. Organizations must ensure that their choices align with societal values and regulatory frameworks. Key considerations include:

Transparency in AI-driven decisions to avoid biases.

Prioritizing data privacy and security.

Incorporating sustainability metrics into corporate strategies.

By addressing these ethical challenges, companies can build trust with stakeholders and maintain their reputation in an increasingly scrutinized business environment.

Scenario Planning and Simulations

Future decision-making will heavily rely on advanced scenario planning and simulations. These tools allow businesses to evaluate potential outcomes of various strategies in a risk-free virtual environment.

For instance:

Retail companies can simulate demand fluctuations during peak seasons.

Manufacturers can test supply chain changes without real-world disruptions.

Financial institutions can model the impact of regulatory changes on their operations.

Such simulations provide a deeper understanding of complex systems, enabling organizations to make confident and resilient decisions.

The Integration of Human Intuition and Technology

While technology is a powerful enabler, human intuition remains an irreplaceable element in decision-making. The future lies in harmonizing these two forces:

AI provides the data-driven backbone, offering insights and recommendations.

Human leaders bring empathy, creativity, and ethical judgment to the table.

This symbiotic relationship ensures that decisions are not only efficient but also aligned with the organization’s mission and values.

Preparing for the Future: Building Decision-Making Resilience

To thrive in the future, organizations must build resilience into their decision-making processes. This involves:

Continuously updating technology stacks to incorporate the latest tools.

Cultivating a culture of adaptability and continuous learning.

Engaging in regular strategy reviews to align with evolving market dynamics.

By staying agile, businesses can navigate uncertainties and seize emerging opportunities with confidence.

Conclusion

The future of corporate decision-making is a dynamic blend of technology, collaboration, and human ingenuity. As AI, Big Data, and collaborative platforms redefine how organizations make choices, the emphasis will increasingly shift towards ethical, inclusive, and proactive strategies. By embracing these advancements, companies can ensure they remain competitive, innovative, and resilient in an ever-changing global marketplace.

[jcmarchi]

Navigating the Digital Revolution in Healthcare: A Strategic Guide for Healthcare Leaders

New Post has been published on https://thedigitalinsider.com/navigating-the-digital-revolution-in-healthcare-a-strategic-guide-for-healthcare-leaders/

Navigating the Digital Revolution in Healthcare: A Strategic Guide for Healthcare Leaders

Healthcare is witnessing an unprecedented pace of change. There are several forces at play, creating a shift in how we approach health and wellness.

First, is demographics. There is a growing gap between lifespan and healthspan. People aren’t just getting older—they’re facing different types of health challenges too. Chronic diseases and morbidities are showing up earlier in life and there is a growing focus on wellness. To cater to this changing demographics, healthcare needs to be more personalized and proactive, moving beyond just reacting to illness.

On the bright side, we’re getting better at understanding the human body and finding new ways to treat it. Healthcare technologies are evolving rapidly and care delivery is becoming more connected and collaborative thanks to digital transformation efforts and technologies like Generative AI. Game-changing innovations like CAR-T cell therapy, radioligand treatments, and advanced diagnostics (e.g., 11.7 Tesla MRI machines) are transforming how we treat and manage diseases. At the same time, device miniaturization and advancements in healthcare informatics are enabling self-management of conditions, creating new possibilities for remote patient care and monitoring.

And most importantly, given the rising cost of care, healthcare payments are now tied to value-based, outcome-oriented care rather than transactions. Payers are also stepping in to play a bigger role in managing care. This is pushing organizations to find new ways to cut costs while improving care delivery and create new outcome-based payment models.

Together, these forces are reshaping healthcare in extraordinary ways. So, in the light of these changes, what does the future look like?

The future of healthcare delivery: self-managed, connected, and boundaryless

In the light of the changes in disease mix, focus on wellness rather than treatment, and tech advancements, healthcare delivery is set to evolve in a few key ways:

Digital tiers of care: The traditional model of primary, secondary, and tertiary care is expanding to include a new “digital” tier. Digital interventions will drive connectivity, enabling remote consultations, virtual care, and better patient monitoring—making healthcare more flexible and boundaryless.

Patient-centric models: Patients, especially those with chronic conditions, will play a more active role in managing their health. This shift towards patient empowerment will reduce the reliance on hospital settings and promote continuous, proactive care.

Evolving payment models: We’ll see the right payment models emerging that emphasize value over episodic transactions and reward preventive care. These future payment frameworks will holistically focus on wellness, behavioral health, and care management rather than just individual treatments.

Coordinated patient journeys: Joining the dots in fragmented patient journeys, future care models will focus on coordination across providers, payers, and care settings. With better data sharing, patients will experience smoother, more efficient care, leading to better outcomes.

Immediate priorities for healthcare organizations

While these evolving futuristic models have a lot of potential, but to get there, healthcare organizations need to navigate some existing on ground realities—starting with finding the money for transformation, innovating at “digital native” speeds, and finding new, sustainable business models.

1. Driving down healthcare costs

We all know that healthcare costs across the system – be it care, research, or administration – are extremely high. For example, 1/7th of the total healthcare spending in the US is on administrative tasks! Every healthcare leader is asking, “How can we become a more cost-effective and efficient organization?”

The answer lies leveraging AI to reimage, optimize, and automate existing processes and operations. For example, one of the ways an AI driven predictive analytics solution can save costs is by identifying high-risk patients, suggesting and implementing targeted interventions, and reducing hospital readmissions.

 2. Embracing agility with digital transformation

To provide the best possible care and patient experience, the healthcare ecosystem needs to adopt digital technologies at scale and become more agile and collaborative. However, just implementing the latest tech is not enough. Take AI for example. We’ve seen that despite POC successes, putting AI into production at scale, ensuring it is ethically sound, accurate, and essentially flawless continues to be a challenge.

The goal for digital transformation should be to achieve true agility—not just in software development, but in how the entire organization operates. This means looking at how doctors, clinicians, payers, and patients interact, improving the speed of care delivery, and ensuring everyone is working together more effectively.

That is only possible when organizations think carefully about their strategy, prioritize use cases that can improve operations and care delivery, and seamlessly weave technology into everyday workflows.

3. Exploring new, sustainable business models

One of the biggest opportunities in digital healthcare is taking the “tribal knowledge” — the valuable insights that come from years of experience — and turning it into AI models that can be monetized. Instead of that knowledge staying locked in the minds of a few experts, it becomes something repeatable and scalable, leading to more personalized and effective care for patients.

Keeping pace with industry shifts: Strategies for healthcare leaders

If we think of an organization like a person, it has a head and a heart—intelligence and feelings. To move the needle on transformation, healthcare leaders need to balance strategy, tactics, and empathy. Successful leaders will:

Look at transformation from a dual lens: Make current operations more efficient while also creating space for new ways of working. Challenge the status quo and prepare for the transition to newer models.

Think big, start small, scale wisely: Large-scale transformations can be overwhelming. It’s important to have a big-picture vision, but the key is to start small. Experiment, test things out, and then gradually expand on what works. By proving the value of digital solutions early, you can reduce risks and build confidence as you move forward.

Embrace multimodal transformation and commit to change: Transformation isn’t just about processes—it’s about people, customers, and change orchestration. Successful change requires buy-in at all levels, from top leadership to employees on the ground. Ensure that employees can adapt to new processes and technologies as they evolve.

Find the right partner: To navigate these shifts, it’s important to find a partner who truly understands the healthcare industry and values continuous learning and innovation. For example, at CitiusTech, we work across the entire healthcare ecosystem—payers, providers, life sciences, and medtech. This gives us a unique perspective, helping our clients connect the dots and turn their big ideas into reality.

Ultimately, success in the new paradigm of healthcare will be about rethinking how healthcare services are delivered, whether through new business models or innovative  tech that can bring real benefits to patients and providers alike.

[zoctech23]

Elevate Your Career with an MBA in Data Analytics from Zoctech

In today’s data-driven world, organizations rely heavily on data analytics to make informed decisions and drive business growth. Pursuing an MBA in Data Analytics from Zoctech equips you with the skills to interpret complex data, develop strategic insights, and lead data-driven initiatives. This program integrates advanced data analytics techniques with essential business management skills, preparing you for leadership roles in this rapidly evolving field.

Why Pursue an MBA in Data Analytics?

Data analytics has become a cornerstone for modern businesses, helping them understand market trends, optimize operations, and enhance customer experiences. An MBA in Data Analytics offers a comprehensive education that combines technical expertise with strategic business knowledge. This unique blend ensures that graduates are well-prepared to harness the power of data to drive business success.

Program Overview

Zoctech’s MBA in Data Analytics program is designed to provide a robust education that covers all aspects of data analytics and business management. Key components of the program include:

Comprehensive Curriculum: Our curriculum covers essential topics such as statistical analysis, data mining, machine learning, and business intelligence. This ensures that you gain a thorough understanding of data analytics and its applications in various business contexts. Practical Experience: Engage in hands-on projects, case studies, and simulations that mirror real-world data analytics challenges. This practical approach helps you apply theoretical knowledge to practical scenarios, enhancing your problem-solving and decision-making skills. Expert Faculty: Learn from industry professionals and seasoned educators who bring valuable insights and real-world experience to the classroom. Their guidance will help you stay up-to-date with the latest trends and best practices in data analytics. Leadership Training: Our program emphasizes leadership and strategic thinking. You will develop the skills needed to lead data analytics teams, manage analytics projects, and make strategic decisions that drive business success. Career Opportunities

An MBA in Data Analytics opens up numerous career opportunities in a variety of industries. Graduates can pursue roles such as:

Data Analyst: Interpreting data to help organizations make informed business decisions. Business Intelligence Manager: Overseeing data analysis and reporting to provide actionable insights for business strategies. Data Scientist: Using advanced analytical techniques and machine learning to solve complex business problems. Analytics Consultant: Advising organizations on how to leverage data analytics to improve operations and achieve business goals. Why Choose Zoctech?

Zoctech is committed to providing a high-quality education that prepares you for success in the field of data analytics. Our MBA program offers:

Flexibility: Our program is designed to accommodate working professionals, offering flexible learning options that fit your schedule. State-of-the-Art Facilities: Access to cutting-edge technology and resources that support your learning and development. Robust Support System: Benefit from a strong network of faculty, peers, and alumni who provide guidance and support throughout your educational journey. Career Advancement: Our extensive network of industry connections and alumni can help you advance your career and open doors to new opportunities. Conclusion

In the age of big data, having a strong foundation in data analytics is essential for driving business success. An MBA in Data Analytics from Zoctech equips you with the skills and knowledge to interpret data, develop strategic insights, and lead data-driven initiatives. With a comprehensive curriculum, practical experience, and expert instruction, Zoctech’s MBA program is the ideal choice for advancing your career in data analytics.

[charlessmithpost]

Data analytics enhances business operations by providing valuable insights, optimizing processes, improving decision-making, and identifying trends. It helps predict customer behavior, reduce costs, and increase efficiency. By leveraging Business Data Analytics, businesses can make informed strategic decisions, improve performance, and gain a competitive edge in the market.

[techtoio]

How Artificial Intelligence is Transforming Scientific Research

Introduction No one ever imagined how artificial intelligence would revolutionize scientific research. At TechtoIO, we look into how AI is not just a tool but the driver behind the rapid advancements in many scientific disciplines. That includes how science is being transformed—from better data analysis to catalyzing discovery, such as areas in health, climate science, physics, particle experimentation, and more. Read to continue link...

[airises]

“Business Adoption of AI Doubles in Five Years”

In a groundbreaking study by McKinsey’s QuantumBlack artificial intelligence division, it was revealed that business adoption of AI has more than doubled over the past half-decade. 🚀 Five years ago, only 20% of organizations reported using AI in at least one business area. Fast forward to today, and that figure stands at an impressive 50%! 📈 But that’s not all. The average number of AI…

[christyrdiaz]

In the dynamic world of modern business, data-driven decision-making has become a cornerstone of success. Companies that utilize the power of data analytics achieve a competitive edge by making informed choices based on insights obtained from vast amounts of information. 

Among the myriad tools available for data analysis, predictive analytics software development stands out for its ability to unlock business growth by forecasting trends, identifying risks, and enabling proactive strategies.

[2ribu]

Masa Depan AI dalam Keamanan Siber Bisnis

Perkembangan teknologi kecerdasan buatan (AI) telah membawa perubahan besar dalam berbagai sektor, termasuk keamanan siber. Dalam dunia bisnis yang semakin digital, ancaman keamanan siber menjadi salah satu tantangan terbesar. Serangan siber tidak hanya menyebabkan kerugian finansial tetapi juga merusak reputasi perusahaan. Di sinilah AI memainkan peran penting. Teknologi ini menawarkan solusi…

[techdriveplay]

Zendesk to Acquire Ultimate

Zendesk announced it will acquire Ultimate, an industry-leading provider of service automation, to deliver the most complete AI offering for customer experience (CX) in the market1. As unprecedented demand for AI drives up the speed and frequency of customer engagement, AI agents push beyond traditional bot capabilities to help brands transform CX into a competitive advantage. With Ultimate,…

[jcmarchi]

Jonathan Byrnes, MIT Center for Transportation and Logistics senior lecturer and visionary in supply chain management, dies at 75

New Post has been published on https://thedigitalinsider.com/jonathan-byrnes-mit-center-for-transportation-and-logistics-senior-lecturer-and-visionary-in-supply-chain-management-dies-at-75/

Jonathan Byrnes, MIT Center for Transportation and Logistics senior lecturer and visionary in supply chain management, dies at 75

Jonathan L.S. Byrnes, a distinguished senior lecturer at the MIT Center for Transportation and Logistics (CTL), passed away peacefully on May 7 after a long battle with cancer, leaving behind a legacy of profound contributions to supply chain education, industry, and the MIT community. He was 75 years old.

“Jonathan was not just a brilliant mind in supply chain management,” reflects Yossi Sheffi, director of CTL and the Elisha Gray II Professor of Engineering Systems. “He was a cherished colleague who had been a part of CTL for over half its existence. His impact on our community and the field of logistics is immense.”

Byrnes dedicated over three decades to teaching and shaping the future leaders of supply chain management (SCM). He authored over 200 influential publications and guided thesis work for numerous students and researchers. In 2021, Byrnes endowed the Jonathan Byrnes Prizes for Academic Distinction and Leadership, awarded each spring by CTL to a residential and a blended SCM master’s student who demonstrate, in Byrnes’s own words, “both a strong academic record (but not necessarily the strongest), linked with a strong contribution to student life.”

Byrnes made a positive impact on countless MIT students. In 2019, to celebrate the 20th anniversary of the Master of Engineering in Logistics (MLOG)/SCM Program, several hundred alumni were asked to identify their most memorable class. Byrnes’s course, 1.261J – ESD.261J – 15.771J (Case Studies in Logistics and Supply Chain Management), was most frequently cited. Other anecdotal accounts and alumni surveys perennially note the course as their favorite and most highly recommended for its impact and influence on students’ careers.

Byrnes fostered a collaborative and discussion-oriented learning environment — a highly valued and sought-after experience of on-campus learning. “He was a gentle man, but was always so vigorous and energetic in class,” remembers Austin Saragih, MIT PhD student in transportation and a graduate research assistant at the MIT Megacity Logistics Lab, and a 2021 Byrnes Prize recipient.

Byrnes’s passion and influence extended beyond the realm of academia. He served on the boards of several companies, leaving an indelible mark on industry practices, and he co-founded Profit Isle Inc., revolutionizing profit analytics and acceleration.

Born in Lexington, Massachusetts, Byrnes earned his MBA from Columbia University in 1974 and his doctorate in business administration from Harvard University in 1980, where he served as president of the Harvard Alumni Association.

He is survived by his wife, Marsha (Feinman) Byrnes; sons Dan and Steve; daughter-in-law Nicole Ledoux; grandchildren Edison, George, and Adrian; and sister Pamela Byrnes and her husband Rick Jacobsen. He is predeceased by his daughter-in-law, Kristin Szatkiewicz Byrnes.

Remembrances may be made to Dana-Farber Cancer Center in gratitude to oncologist Toni Choueiri, or to the Experimental Model of Human Sarcoma Fund.