Artificial intelligence is increasingly transforming the health care industry, pushing major companies toward partnerships, acquisitions and innovation. AI solutions designed to enhance the comfort of both doctors and patients are reshaping clinical practices.
Software-driven imaging solutions, including AI, cloud platforms and integration systems, now account for 60% of the sector’s total revenue. This segment is growing at an annual rate of 43%, making it the fastest-expanding area within health care AI.
The global market for artificial intelligence-powered diagnostics, valued at $1.9 billion in 2024, is projected to surge to $46.6 billion by 2034, growing at an annual rate of 33.7%, according to recent research.
While AI in imaging leads the charge, AI-driven patient management tools and clinical decision support systems are also expanding rapidly, allowing startups to capture significant market share from industry giants.
Partnerships and acquisitions
Machine learning remains the most widely adopted AI technology in health care, used by 48% of organizations, followed by investments in computer vision, natural language processing (NLP), cloud-based systems and 3D/4D imaging technologies.
Siemens Healthineers has emerged as one of the most active players, striking a partnership with Google Cloud to expand its AI and cloud capabilities. Siemens has also acquired nuclear medicine startup Advanced Accelerator Applications (AAA) from Novartis and bought Dotmatics, a specialist in life sciences software.
Other tech companies are increasingly pivoting toward life sciences. France’s Dassault Systemes, for instance, now generates a significant portion of its revenue from the health care sector. Meanwhile, GE continues to invest in AI-driven startups, and Philips has ramped up restructuring and compliance-focused investments.
Over 100 startup collaborations
Amira Romani, senior vice president responsible for innovation and strategy ecosystems at Siemens Healthineers, stated that as part of their corporate culture, they believe they cannot solve all health-related problems alone.
“Innovation is born not in isolation, but through collaboration. Our focus is to identify win-win scenarios that create greater impact for patients. This could involve startups or large tech companies, depending on the use case,” said Romani.
Amira Romani, senior vice president at Siemens Healthineers. (Courtesy of Siemens Healthineers)
“We are currently collaborating with more than 100 startups worldwide, integrating their solutions into our product portfolio or adopting new innovations. At the same time, we are forming partnerships with major tech firms that can drive transformation in healthcare,” she noted.
“Let me emphasize again: what matters most is the patient. The goal is not just to bring companies together, but to deliver tangible solutions that improve patient outcomes.”
Binging various technologies
Romani described AI as “the glue” that binds various technologies in health care together, saying that when used correctly, it enables early diagnosis, detection and personalized treatments for diseases.
“For me, AI acts as the glue that connects all these technologies. But doing AI just for the sake of AI is meaningless. The real goal is to integrate it into every aspect of healthcare, devices, workflows and solutions, to increase efficiency for both patients and healthcare professionals. We are accelerating this transformation by investing in scalable AI applications,” she noted.
Investments in AI-powered healthcare startups are also rising in Türkiye.
One of the country’s leading telecoms and technology companies, Türk Telekom’s venture capital arm, TT Ventures, has backed several healthtech startups, including Virasoft and Albert Health, as well as accelerator alumni Aivisiontech and Hevi AI.
These startups are driving advances in early diagnosis, chronic disease management and preventative health care.
Sharing Türkiye’s solutions with world
Romani noted that Siemens Healthineers opened an innovation center in Istanbul two months ago.
“The energy of the local ecosystem here is inspiring. This passion for innovation and solution-driven thinking convinced us that we must have a deeper presence in Türkiye,” she noted.
“We are now collaborating with startups, government bodies, and other sectors to better understand the Turkish ecosystem. Our goal is to scale solutions developed here to the global market. After all, many health care challenges are universal – if we can solve them here, why not bring those solutions to the world?”
AI startup count in Türkiye grows 17-fold in 8 years
The number of artificial intelligence startups in Türkiye has jumped 17-fold over the past eight years, reaching 411 as of the second quarter of 2025, according to the latest update of the Türkiye AI Startup Map by the Türkiye Artificial Intelligence Initiative (TRAI).
TRAI, which aims to foster institutional and societal AI awareness and strengthen the country’s AI ecosystem, added 20 new startups to its map this quarter. Back in 2017, there were only 24 AI-focused startups operating in Türkiye.
The explosive growth reflects both the rapidly evolving nature of AI technologies and the agility of startups in adapting to them.
A significant share of these ventures is concentrated in technology-driven segments such as generative AI, smart platforms, computer vision and machine learning, highlighting the shifting landscape of Türkiye’s AI ecosystem.
Generative AI leads momentum
Generative AI continues to dominate startup activity in Türkiye. Of the 20 startups added in the second quarter of 2025, six are focused on generative AI solutions, pointing to sustained momentum in the sector.
Three new startups were added under the smart platforms category, and two each in computer vision and machine learning.
The remaining startups are spread across various AI applications, including natural language processing (NLP), data analytics, IoT, infrastructure services and chatbots.
Local startups are increasingly developing solutions in content creation, large language models, AI-powered search assistants and personalized AI applications, demonstrating that these technologies are gaining both strategic and competitive significance within Türkiye’s AI ecosystem.
The growing adoption of generative AI also signals a broader transformation that is reshaping the local innovation landscape.
Maturity of Türkiye’s AI scene
Can Sinemli, general manager of TRAI, said the latest data underscores the increasing maturity of Türkiye’s AI startup scene.
“The number of startups surpassing 400 points not only signifies a quantitative increase but also a qualitative and specialized growth. Each new addition to our map enriches the diversity of technologies and application areas. This dynamic structure offers attractive opportunities for investors while also creating a strong foundation for collaboration,” said Sinemli.
Can Sinemli, general manager of Türkiye Artificial Intelligence Initiative (TRAI). (Courtesy of TRAI)
“The transformation driven by frontier technologies like generative AI marks a significant step toward enhancing the global competitiveness of Türkiye’s ecosystem.”
Corporates increase engagement
Interest from established corporations is also growing.
TT Ventures, the venture capital arm of Türk Telekom, one of Türkiye’s leading telecoms and technology companies, has invested in several AI startups through its accelerator program, Pilot and its portfolio fund.
Among the standouts are Segmentify, which provides AI-powered personalized recommendation engines for e-commerce, Mindsite, offering an AI platform for real-time marketing insights across digital commerce channels, and Mistikist, which combines neuroscience with AI to develop tools for reducing mental stress and anxiety.
Among others is the T4 People Analytics, an AI-driven HR platform that analyzes workforce data to deliver employee-centered insights.
Turkish 212 NexT fund backs French sustainable dye startup EverDye
Türkiye’s first vertical deep-technology fund, 212 NexT, has joined the 15 million euros ($17.57 million) Series A funding round of French textile technology startup EverDye, which develops environmentally friendly dyeing solutions.
The investment reflects 212 NexT’s strategy to support scalable deep-tech ventures tackling industrial sustainability challenges. EverDye, founded in 2021, produces bio-based pigments and low-energy, room-temperature dyeing technologies aimed at revolutionizing the textile industry’s heavy environmental footprint.
Strong investor consortium
The round was co-led by France-based venture capital firm Daphni and Credit Mutuel Innovation, the investment arm of Credit Mutuel Group. Other participants included the European Innovation Council (EIC), Ring Capital, and existing investors Asterion Ventures and Maki.vc, alongside 212 NexT.
EverDye CEO Philippe Berlan said dyeing processes account for nearly half of the textile industry’s greenhouse gas emissions.
“At EverDye, we’ve developed a solution that can reduce this impact in one-third of the time, using significantly less energy and environmentally friendly ingredients,” Berlan noted.
Gizem Yağız, managing partner at 212 NexT, emphasized the strategic importance of the investment.
“EverDye offers a scalable and industry-integrable high-tech solution to some of the most deep-rooted environmental challenges in the textile sector,” Yağız said.
“By meaningfully reducing energy and water consumption while providing cost advantages to manufacturers, the technology proves to be not only sustainable but also economically attractive.”
Textile sustainability breakthrough
EverDye aims to radically reduce the environmental footprint of the textile industry. The startup’s technology enables dyeing in one-third the time of traditional processes, using significantly less energy and environmentally friendly ingredients.
Its commercial maturity was demonstrated through a successful capsule collection with Adore Me, a leading U.S. apparel brand owned by Victoria’s Secret. With its new investment, EverDye plans to scale its pilot-proven technology to an industrial level and forge broader collaborations with global textile brands.
AI shift: Tech leaders, academics explore enterprise transformation
Leaders from PwC, Nvidia, Red Hat and OdineLabs, alongside academics from Georgia Tech and Istanbul Technical University, gathered at a high-level event this week to discuss the transformative impact of artificial intelligence on organizations.
In his opening remarks, Alper Tunga Burak, CEO and chairperson of Odine, emphasized that artificial intelligence has evolved beyond being merely a technical concept.
“We are all witnessing how AI is shaping our ways of working, communication infrastructures and corporate strategies. After progressing at a theoretical level for many years, AI began a tangible transformation in our daily lives and business world in the 2010s, driven by the rise of deep learning, growing data volumes, powerful processing capabilities and advancing cloud infrastructures. This transformation is not just a technical development but a strategic choice that offers institutions the opportunity to rethink their processes and strengthen their competitiveness,” said Burak.
People are seen at the Odine meeting. (Courtesy of Odine)
“Being aware of the opportunities and impacts created by this strategic evolution initiated by AI, and accelerating the process, will greatly contribute to success.”
Following the opening remarks, OdineLabs Inc. CEO Bülent Kaytaz shared the company’s AI-focused research and development (R&D) vision and technology investments with participants.
The event saw representatives from leading firms such as PwC, Nvidia, Red Hat and OdineLabs delivering presentations spanning a wide range, from AI-powered enterprise decision systems and sustainable network infrastructures to data-driven operations management and next-generation security solutions.
DXC Technology recently announced partnerships with startups Acumino, CAMB.AI, and GreenMatterAI to advance AI solutions in the automotive and manufacturing industries, focusing on smart factory robotics, real-time speech translation, and synthetic data projects.
This collaboration, made as part of the STARTUP AUTOBAHN initiative, highlights DXC’s commitment to transforming emerging technology into practical industry impact by accelerating AI adoption.
We’ll examine how these new AI partnerships could reshape DXC Technology’s investment narrative and long-term prospects in digital transformation.
To be a shareholder in DXC Technology today, you need to believe that the company’s efforts in digital transformation and AI can counter persistent revenue declines and revive organic growth. While the new partnerships with Acumino, CAMB.AI, and GreenMatterAI showcase momentum in AI, the immediate effect on stabilizing short-term revenues or addressing the ongoing decline in the GIS segment is likely to be modest, given the inherent scale and timing of these projects.
Of recent announcements, DXC’s deal to create the DXC Agentic Security Operations Center with 7AI stands out as especially relevant alongside the new automotive and manufacturing AI partnerships. This reflects a deepening focus on expanding digital offerings through AI-driven solutions, which underpins the most important catalyst for the stock: improved client demand and bookings growth from digital modernization, even as near-term performance remains pressured.
However, investors should not overlook that, despite these innovation efforts, persistent challenges in revenue and margin stabilization continue to weigh on the company’s outlook, especially if…
DXC Technology’s outlook projects $12.1 billion in revenue and $208.6 million in earnings by 2028. This implies a 1.7% annual revenue decline and a $170.4 million decrease in earnings from the current $379.0 million.
Six Simply Wall St Community members estimate DXC’s fair value between US$8.06 and US$261.89, indicating significant differences in growth assumptions. Balance these viewpoints with persistent risks to revenue and backlog conversion that could impact near-term earnings and investor sentiment.
Disagree with existing narratives? Create your own in under 3 minutes – extraordinary investment returns rarely come from following the herd.
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Much of the conversation around artificial intelligence today is conducted at the extremes, with breathless warnings of mass job losses at one end and breezy dismissal at the other. The reality seems to be far more complicated, stuck somewhere no one can predict with any accuracy.
This is simply because AI is still being understood even as its development scales at astonishing speed. Despite its occasional missteps, the infamous hallucinations, the moments when it stumbles over context, intelligent systems are already quietly replacing human effort in areas once thought incomprehensible. The real question is whether we, as humans, can reinvent ourselves fast enough not just to cope with it, but to flourish alongside it.
The POSSIBLE framework and its promise
That reinvention feels urgent because AI is no longer confined to repetitive, mechanical tasks. It has ventured into decision-making, creative ideation, and even the subtle reading of human emotions. With each advance, it edges closer to matching, and sometimes surpassing human performance in both cognitive and emotional domains. The implications for employment are profound. Over the next decade and a half, between a third and half of existing jobs may disappear, with knowledge workers bearing the brunt. For younger demographic nations such as India, Africa, and those in Latin America, the scale of potential dislocation is staggering. In India, where nearly half the population is under 25, the government’s IndiaAI Mission and large-scale skilling programmes are trying to anticipate precisely the shifts Seth warns of. Disruption is certain, but so too is opportunity. Entire industries will be reshaped, creating room for new ideas, solutions, and ventures for those ready to grasp them.
It is into this moment that Human Edge in the AI Age steps in, offering not just commentary but a way forward. Seth resists the temptation to see AI as a purely technological problem. Instead, he reframes it as a deeply human one, rooted in qualities no machine can replicate. His ‘POSSIBLE’ framework distils eight timeless capabilities: Problem-Solving, Openness, Spirituality, Sports, Impact, Balance, Leadership, Entrepreneurship. Each is explained with clarity, and, crucially, with reasons for its relevance in the AI era.
The breadth of the framework means it spans mindset, behaviour, and philosophy, more compass than checklist, yet it is grounded enough.
Seth’s arguments echo the concerns of global thinkers like Max Tegmark and Richard and Daniel Susskind, who have warned that the real challenge is not competing with AI but reshaping how we learn, work, and govern in its presence. What he adds, and this is the book’s strongest suit, is a deep faith in our capacity to adapt, provided we do so consciously and deliberately.
A hopeful but imperfect reflection
One of the most refreshing aspects in the book is Seth’s unselfconscious use of spirituality as a leadership anchor. It is rare to find a business book, particularly one on technology, that devotes so much space to the inner life without lapsing into abstraction. They remind us that in the race to stay ahead of machines, we cannot neglect the slower work of knowing ourselves. Here, it is woven through anecdotes from his own spiritual journey, offering a counterweight to the relentless pace of technological change.
Seth also draws liberally on Indic wisdom and traditions, weaving them into his reflections on how humans can retain their distinctiveness in an age of intelligent machines. For readers steeped in philosophy or spirituality, some of these parallels will feel familiar; for others, they may at times come across as esoteric, more meditative than managerial.
Equally engaging is his candid writing about personal missteps, including his later regret at not using his influence more forcefully in urban planning policy. In fact, many parts of Human Edge in the AI Age read almost like a memoir, with Seth revisiting moments from his own journey. These digressions expand the scope of the book away from AI itself, giving it an autobiographical feeling, that will either delight or distract, depending on what the reader picked the book for.
There is also playfulness in the way he borrows from sport. His analogies from cricket and football to illustrate teamwork, resilience, and adaptability are simple but effective. They work not only because they are familiar to most Indian readers, but because they bridge the gap between conceptual leadership traits and lived experience.
If there is a limitation, it lies in the scarcity of sector-specific examples. While the POSSIBLE framework can be applied to any profession, younger readers may wish for more concrete scenarios—say, how a young coder in Salem might approach it differently from a supply-chain manager in Surat. There are moments when the book feels as though it has been hurried to market to stake an early claim in this theme, rather than breaking truly new ground.
One of the book’s most resonant lines is Seth’s observation that “AI is challenging what is innately human. We are seeing a very important inversion: machines are growing and becoming more human, humans are becoming narrow and more machine-like.” It is a sobering thought, and one that crystallises the risk of letting our own adaptability atrophy even as technology races ahead.
Seth’s message is clear—the competitive edge in an AI-shaped economy will belong to those who can combine timeless human instincts with the best of machine capability. It shifts the conversation from whether AI will replace us to how we can nurture the qualities no machine can truly possess. At times, the book’s structure has the too-well-polished symmetry one has come to experience from a well-engineered generative AI prompt. To be fair to the author, this could be more a reflection of the content-saturated age we inhabit, where even human-authored work can carry the imprint of AI-like output. Yet it is precisely here that a firmer editorial hand could have injected more texture, nuance, and those productive surprises that keep a reader leaning in.
Ultimately, Human Edge in the AI Age is a hopeful book—a believer’s book. It believes in AI’s transformative potential, but even more in humanity’s ability to adapt, create, and lead. This book is part reflection, part rallying cry, part autobiography, with flashes of sales-pitch polish—more likely to spark conversations in influential IIT-IIM-ISB and consulting alumni circles, boardrooms, client pitches, and the PR-and-cocktail circuit.
Srinath Sridharan is author, corporate adviser and independent director on corporate boards
Disclaimer: Views expressed are personal and do not reflect the official position or policy of FinancialExpress.com. Reproducing this content without permission is prohibited.
Human Edge in the AI Age: Eight Timeless Mantras for Success
The US government could receive over $3 billion worth of AI assistance from Microsoft over the next year.
Earlier this week, Microsoft and the US General Services Administration (GSA) jointly announced an agreement that provides cloud services to government agencies at no cost or at a discount. AI services that are part of the deal include Microsoft 365 Copilot at no cost for up to 12 months.
Discounts will also be available to federal agencies on Microsoft 365, Azure Cloud Services, Dynamics 365, and cybersecurity and monitoring tools.
Microsoft will deliver over $3 billion in cost savings within the first year of the agreement. The deal could end up saving significantly more since discounts are available for up to three years.
The GSA is an independent agency of the US government. It manages federal property and provides government agencies with contracting options.
The goal of the agreement is to help government agencies adopt AI tools. Microsoft’s services will be offered throughout the government.
This agreement could save U.S. agencies over $3 billion in just one year — and more than $6 billion by 2026.
Federal agencies will have the option to access a unique version of the Microsoft 365 Copilot suite that’s only available to the federal government. As part of the agreement, there are no per-agent fees for AI agents.
Azure discounts will be offered to agencies, and data egress fees will be waived entirely. Those fees are usually incurred when data is transferred out of Azure data centers.
Discounted pricing will be available to federal agencies for up to 36 months.
Measuring the impact of Copilot
Many organizations hesitate to adopt Copilot because its return on investment (ROI) is hard to quantify. (Image credit: Future | Daniel Rubino)
I recently spoke with Nerdio VP of Product Amol Dalvi to discuss the roadblocks to organizations adopting Copilot. While my meeting did not address the recent agreement between the US government and Microsoft, Dalvi provided insight into the challenge of assessing how useful Copilot is.
Many organizations want to measure Copilot and other AI tools strictly in terms of return on investment (ROI). Like balancing a checkbook, they want to be able to see how much is spent on a tool and how much money the tool “saves.” But in reality, it’s difficult — or impossible — to measure ROI in financial terms.
Microsoft’s free Copilot offer signals a push to make AI a standard part of government workflows.
Instead, the value of Copilot should be looked at in terms of impact. Dalvi explained that Copilot should be measured in terms of productivity gains.
Does using the tool save time? Can human experts better use their time elsewhere since Copilot can handle tasks and streamline particular workflows?
Through its agreement with the US government, Microsoft is giving federal agencies the chance to measure the impact of Copilot without having as high an overhead cost. The discounts and free access to certain products allow agencies to see the real-world changes AI can have.
What Microsoft and the US government have said
Microsoft CEO Satya Nadella explained the company’s latest agreement provides the US government with more than $3.1 billion worth of services in its first year. (Image credit: Windows Central)
“GSA is proud to partner with technology companies, like Microsoft, to advance AI adoption across the federal government, a key priority of the Trump Administration. We urge our federal partners to leverage these agreements, providing government workers with transformative AI tools that streamline operations, cut costs, and enhance results.”
Federal Acquisition Service (FAS) Commissioner Josh Gruenbaum:
“GSA is accelerating access to AI for federal agencies and delivering on the President’s AI Action Plan. OneGov represents a paradigm shift in federal procurement that is leading to immense cost savings, achieved by leveraging the purchasing power of the entire federal government. We appreciate Microsoft’s partnership in this modernization and its commitment toward an interoperable digital federal ecosystem.”
“For more than four decades, Microsoft has partnered with the U.S. Government to serve the American people. With this new agreement with the U.S. General Services Administration, including a no-cost Microsoft 365 Copilot offer, we will help federal agencies use AI and digital technologies to improve citizen services, strengthen security, and save taxpayers more than $3 billion in the first year alone.”
“This collaboration is about empowering public servants with the tools they need to deliver on their missions more effectively and securely. By bringing the latest advances in cloud and AI — including Azure, Microsoft 365 Copilot, Dynamics 365, and our security platforms — backed by industry-leading security and compliance certifications, we aim to help agencies modernize systems, improve citizen services, and advance their technology transformation goals.”
Chris Barry, Corporate Vice President, US Public Sector Industries, Microsoft:
“As GSA seeks to transform government in this new era of AI, Microsoft is committed to leading as the government’s essential partner in delivering the tools necessary to help federal agencies harness the power of AI to advance the public good.”
Federal agencies can opt in to any or all of the offers through September 2026, giving those agencies a year to assess which tools should be implemented.
As the race to modernize government tech intensifies, Microsoft’s $6 billion cloud and AI deal marks a pivotal moment — not just for cost savings, but for shaping how federal agencies work in the years ahead.
With free Copilot access, deep discounts across Office and Azure, and a strategic push into AI infrastructure, this agreement could redefine the public sector’s digital future. Whether it’s a bold leap forward or just the beginning, one thing’s clear: the tools of tomorrow are already arriving in Washington.
