Archives March 2026

Business Wire India

Cadence, a global leader in computational software, today announced the appointment of Dr. Alok Jain as the managing director for the India region. In this role, Dr. Jain will spearhead Cadence’s strategic growth in the region, focusing on scaling operations, fostering innovation, and strengthening collaborations with the Indian government, academia, and industry to advance the country’s semiconductor ecosystem.

 

“India is a vital hub for Cadence’s R&D and global growth strategy,” said Anirudh Devgan, President and CEO of Cadence. “Alok’s deep technical expertise, coupled with his decades of leadership at Cadence, makes him the ideal leader to drive our India operations, a vital hub for Cadence’s R&D and global growth strategy. His contributions have been instrumental in shaping our success in India, and I am confident that under his leadership, we will continue to accelerate innovation and deepen our engagement with the thriving Indian semiconductor ecosystem.“

 

Dr. Jain brings over 35 years of industry experience and technical expertise. He joined Cadence India in 1997 and currently serves as vice president in the System Verification Group (SDA). Over the years, along with the leadership team, he has shaped the culture and growth of Cadence’s Noida site, driving teams to deliver cutting-edge solutions for customers worldwide. His leadership and commitment to technology have consistently advanced innovation within the organization.

 

Widely recognized within the technical community, Dr. Jain has represented industry bodies such as IESA and the VLSI Society of India. He holds a bachelor of technology degree in electrical engineering from the Indian Institute of Technology, Delhi. He also earned MS and PhD degrees in electrical and computer engineering from Carnegie Mellon University. Dr. Jain has authored over 30 technical papers and holds 10 patents in formal and functional verification.

 

India is a critical hub for the company, with over 30% of Cadence’s global workforce based in the country. A significant percentage of the teams in India are involved in core R&D and product development. For the last 12 years, Cadence has featured in the top 100 in the “India’s Best Companies to Work For” survey conducted by the Great Place to Work (GPTW) Institute.

 

As an early entrant into India, having established its presence in 1987, Cadence has been a foundational player in building the Indian semiconductor ecosystem, including as a founding member of the India Electronics and Semiconductor Association (IESA). Cadence has partnered with MeitY, AICTE, IITs, and other Tier 1 institutions, and over 400 colleges and universities to build a strong chip-design talent pipeline. Through initiatives such as Chips to Startup (C2S) and India-led AI-driven design innovations, Cadence is advancing India’s semiconductor mission while accelerating global innovation. Dr. Jain will play a key role in advancing Cadence’s strategic involvement in such programs of national importance.

Business Wire India

As artificial intelligence moves rapidly from experimentation to enterprise adoption, it is reshaping not only how work gets done but also what leadership looks like across industries. According to McKinsey & Company, generative AI could automate or augment up to 60-70% of tasks across knowledge-based roles, fundamentally changing how professionals work. Similarly, research from the Boston Consulting Group suggests that organisations integrating AI into decision-making and operations are already seeing productivity gains of 30-40% in certain functions, particularly in marketing, operations, and customer analytics.

 

New research conducted by CyberMedia Research and Scaler highlights the scale of this transition. The study found that 88% of engineers and recruiters expect AI to significantly change job roles within the next two to three years. At the same time, while 89% of professionals believe they are AI-ready, only 19% are deeply engaged in real AI or machine learning work, revealing a widening gap between confidence and capability.

 

As AI becomes embedded across functions such as marketing, finance, product strategy, and operations, the challenge is no longer access to AI tools but the ability to use them meaningfully. Companies increasingly need leaders who can combine strong business fundamentals with an understanding of AI and technology, bridging strategic thinking with technological capability.

 

To address this emerging leadership skills gap, Scaler recently introduced its PGP in Business & AI, a 12-month online master’s certificate programme designed for working professionals preparing for management and leadership roles in a technology-driven economy. Building on over a decade of experience training engineers and professionals in advanced technology skills, Scaler brings deep expertise in teaching complex technical concepts through industry-led instruction and hands-on learning. Scaler has also committed INR 50 crore over the next two years to scale the programme, expand industry partnerships, and deepen applied learning infrastructure.

 

“AI is fundamentally reshaping how organisations operate. The leaders who will succeed in this environment are those who combine strong business fundamentals with fluency in data, technology, and AI-driven decision making,” said Abhimanyu Saxena, Co-founder of Scaler and InterviewBit. “Management education needs to evolve accordingly. Leaders can no longer operate purely from a strategy perspective without understanding the technologies shaping their industries. This gap between technological change and leadership readiness is precisely what programmes like Scaler’s Online PGP in Business & AI aim to address.”

 

Scaler’s Online PGP in Business and AI blends core management education with technology awareness and applied AI concepts. The programme begins with a foundation phase covering structural thinking, data analysis, business communication, research, and quantitative methods, before moving into a management mastery stage that explores strategy, finance, marketing, economics, operations, and team management. Learners are then introduced to AI fundamentals, including how modern AI systems work from transformers and embeddings to reasoning models, and how these technologies can be applied safely and effectively in real business contexts. The programme culminates in a major industry capstone project in which participants work on real business challenges sourced from enterprise partners, spanning go-to-market strategy, digital operations, customer intelligence, and growth strategy.

 

Designed as an upskilling programme for working professionals, the curriculum emphasises hands-on learning through real-world assignments, decision labs, projects, and mentorship from industry leaders. Learners also gain access to Scaler’s AI-powered learning assistant and to the founders and industry networks to help them transition into management and leadership roles.

 

To maintain a high level of interaction and mentorship, the programme follows a highly selective cohort-based model, admitting only 50 learners per batch. Participants go through a structured admissions process to ensure a strong mix of professionals across technology, consulting, product, and business roles. By limiting cohort size, Scaler aims to enable deeper faculty engagement, collaborative peer learning, and more personalised mentorship throughout the programme.

 

The Scaler-CMR study also shows that professionals increasingly prefer learning models that mirror real workplace demands. More than 80% of learners prioritise hands-on projects, while recruiters place greater emphasis on real-world problem-solving and project experience over theoretical knowledge when evaluating candidates.

 

As AI continues to reshape industries, the future of leadership will increasingly belong to professionals who can bridge business strategy, data, and technology. Programmes that integrate these capabilities into management education will play an important role in preparing professionals for the next decade of business leadership.

Business Wire India

Kioxia Corporation today announced the development of its Super High IOPS SSD, a new type of SSD enabling the GPU to directly access high-speed flash memory as an expansion to High Bandwidth Memory (HBM) in AI systems. The new Super High IOPS SSD, the KIOXIA GP Series, is purpose-built to meet the growing performance demands of AI and high-performance computing, providing larger GPU-accessible memory capacity for faster data access to AI workloads. Evaluation samples of KIOXIA GP Series will be available to select customers by the end of 2026.

 

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260316827516/en/

 

 

 

The NVIDIA Storage-Next initiative addresses the anticipated shift from compute-intensive to data-intensive workloads and the expanded need for GPU-accessible memory space, currently limited by HBM size. Expanding the GPU’s usable memory space allows access to larger data sets and improves GPU utilization by moving more data closer to compute resources.

 

The NVIDIA Storage-Next initiative calls on SSD vendors to design drives optimized for GPU-initiated AI workloads. The initiative effectively expands HBM capacity by enabling GPUs to access flash-based memory. Kioxia is supporting NVIDIA’s initiative with the KIOXIA GP Series SSDs, which utilize low-latency, high-performance KIOXIA XL-FLASH™ Storage Class Memory, and is uniquely positioned for this architecture, delivering higher IOPS, finer-grained data access (512 bytes), and lower power consumption per IO, compared with Kioxia conventional TLC SSDs.

 

 

“Kioxia fully supports the NVIDIA Storage-Next initiative and will deliver purpose-built SSDs to effectively address the need for GPU-accessible memory,” said Makoto Hamada, Senior Director of the SSD Division, Kioxia Corporation. “This collaboration is instrumental in shaping the future of AI storage architecture.”

 

 

Kioxia reaffirms its commitment to driving technological advancements in AI and high-performance computing through ongoing innovation and strategic collaborations. The KIOXIA GP Series SSD family is designed to address the evolving needs of AI workloads.

 

 

Additionally, AI models are rapidly scaling toward trillions of parameters while context windows expand to millions of tokens, driving an unprecedented growth in KV (Key Value) cache requirements. Architectures such as NVIDIA’s Context Memory Storage (CMX) recognize the need to extend the memory hierarchy beyond GPU memory using high-performance storage. The KIOXIA CM9 Series PCIe^® 5.0 E3.S SSD, offering 25.6 TB TLC capacity with 3 DWPD endurance, provide the performance, capacity, and endurance needed to support these large-scale inference environments. KIOXIA believes this class of storage will play a critical role in scaling efficient, cost-optimized AI inference infrastructure. Samples will begin shipping in Q3 2026.

 

 

KIOXIA will be demonstrating the Super High IOPS SSD emulator and other technology innovations at NVIDIA GTC, booth 3522.

 

 

Notes:

 

 

Product image may differ from the actual product.

 

 

NVIDIA and Storage-Next are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.

 

 

PCIe is a registered trademark of PCI-SIG.

 

 

Other company names, product names, and service names may be trademarks of third-party companies.

 

 

Definition of SSD capacity: Kioxia Corporation defines a kilobyte (KB) as 1,000 bytes, a megabyte (MB) as 1,000,000 bytes, a gigabyte (GB) as 1,000,000,000 bytes, a terabyte (TB) as 1,000,000,000,000 bytes, and a kibibyte (KiB) is 1,024 bytes. A computer operating system, however, reports storage capacity using powers of 2 for the definition of 1GB = 2^30 bytes = 1,073,741,824 bytes and 1TB = 2^40 bytes = 1,099,511,627,776 bytes and therefore shows less storage capacity. Available storage capacity (including examples of various media files) will vary based on file size, formatting, settings, software and operating system, and/or pre-installed software applications, or media content. Actual formatted capacity may vary.

 

 

About Kioxia

 

 

Kioxia is a world leader in memory solutions, dedicated to the development, production and sale of flash memory and solid-state drives (SSDs). In April 2017, its predecessor Toshiba Memory was spun off from Toshiba Corporation, the company that invented NAND flash memory in 1987. Kioxia is committed to uplifting the world with “memory” by offering products, services and systems that create choice for customers and memory-based value for society. Kioxia’s innovative 3D flash memory technology, BiCS FLASH™, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, automotive systems, data centers and generative AI systems.

 

 

Information in this document, including product prices and specifications, content of services and contact information, is correct on the date of the announcement but is subject to change without prior notice.

 

 

 

 

View source version on businesswire.com: https://www.businesswire.com/news/home/20260316827516/en/

 

Business Wire India

NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced enhancements to its enterprise-grade data platform, enabling customers to remove roadblocks to AI innovation. In addition to supporting the latest innovations from NVIDIA announced at GTC, NetApp is launching NetApp AI Data Engine (AIDE)—a secure, unified AI data platform stack co-engineered with NVIDIA and integrated with the NVIDIA AI Data Platform reference design.

 

A foundational challenge for AI is enabling enterprises to discover, understand, and govern the data they have across their global data estates. If data is AI’s fuel, finding and using the best data is essential to making truly transformative AI. NetApp AIDE helps enterprises solve this need through an automatically created—and continuously updated—global metadata catalog with powerful search capabilities. Critically, the NetApp AIDE metadata catalog goes beyond standard file system metadata and actively analyzes file content to semantically enrich metadata in place, rather than introducing additional security concerns and expense by moving the data multiple times. This enriched metadata enables enterprises to find, curate, use, and govern data in order to feed and use the correct and most up-to-date data throughout the AI data pipeline—from selection and transformation through retrieval and serving to AI applications and agents.

 

 

“Despite massive investments and market pressures to leverage AI for improved productivity and enhanced business decision making, data challenges are bottlenecking projects before they even reach production,” said Syam Nair, Chief Product Officer at NetApp. “To take back control of their data, customers need a mature enterprise-grade data platform that was designed disaggregated and intelligent from the beginning so that storage, services, and control scale independently without lock-in. Leveraging the NetApp data platform, including NetApp AIDE and support for NVIDIA’s leading AI capabilities, we’re helping customers build enterprise grade AI factories supported by our high-performance unified storage platform.”

 

 

NetApp AIDE will be launching this month for an initial wave of lighthouse customers and partners, with broad availability coming early summer. As a strong champion of open technology ecosystems NetApp will also continue to deliver integrations across a number of ISV partners, both on-premises and in the cloud, providing the deep and seamless integrations essential for customers bringing production AI workloads to life. Examples of these ISV partner integrations that will be available very soon include leading AI app development platforms and frameworks built on hyperscale cloud services such as Microsoft Azure‑based AI applications, Google Cloud’s Vertex AI platform, and LangChain, enabling customers to rapidly build AI apps that securely leverage their unstructured enterprise data, continuously made AI-ready in-place.

 

 

Over the next few months, NetApp AIDE will extend to support an increasing number of deployment options, giving customers broad infrastructure flexibility. AIDE is an integrated set of software solutions that customers will soon be able to run on various server options to help best suit customers’ individual use cases and needs. For example, customers will be able to use NetApp AIDE across their data estate with the new NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs announced today at NVIDIA GTC and NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. NetApp AIDE will also quickly extend to support deployments directly into a wide variety of new and existing NetApp storage environments—including AFF A-Series, AFF C-Series, and FAS.

 

 

And, this summer, NetApp AIDE will add several more capabilities. Expansive hybrid cloud support will bring NetApp AIDE capabilities to enterprise data no matter where it lives—seamlessly across on-premises and cloud storage. NetApp AIDE will also evolve to include new multimodal data capabilities—extending the breadth of NetApp AIDE capabilities to include visual data, unlocking powerful new use cases on a range of unstructured data. And, robust agentic AI support will enable seamless, secure, governed agentic workflows on enterprise data—across a global NetApp data estate—all supporting popular, industry standard protocols.

 

 

“Through our partnership, NetApp and Cisco are delivering enterprise-grade infrastructure that accelerates AI adoption,” said Jeremy Foster, SVP and GM, Cisco Compute. “FlexPod AI—part of the Cisco AI POD portfolio—brings together the full stack of compute, storage, networking, security and observability capabilities our customers need to anchor their AI factories. Using NetApp AIDE with this solution moves AI to our customers’ data, right where it lives, speeding up data pipelines and delivering value faster.”

 

 

To further enhance the NetApp data platform’s ability to support AI innovation, NetApp will support NVIDIA STX, a modular, rack-scale storage reference architecture for agentic AI. Built with NVIDIA Vera Rubin and NVIDIA BlueField-4 DPUs, STX will deliver a high-performance data engine with a specialized memory tier for KV-cache storage, improving power efficiency, throughput, and security. Leveraging NetApp data management capabilities in this new reference architecture, customers will be able to bridge the gap between massive AI compute and unstructured data storage by centralizing intelligent data handling.

 

 

“The fundamental demand for AI factories is pushing enterprises to find new ways to govern and utilize their vast data estates for generating business value,” said Jason Hardy, Vice President, Storage Technologies at NVIDIA. “By integrating with NVIDIA’s AI Data Platform reference architecture, NetApp provides a framework for enterprises to efficiently manage data for large-scale AI deployments.”

 

 

To learn more about NetApp AI Data Engine and NetApp’s collaboration with NVIDIA, visit the NetApp booth at NVIDIA GTC #1907 in San Jose, CA from March 16 -19.

 

 

Additional Resources

 

 

• NetApp AI Data Engine: An End-to-End, Storage-Integrated AI Data Service
• NetApp: The Enterprise-Grade Data Platform for AI
• NetApp and NVIDIA: Bringing the AI Factory to All!

 

About NetApp

 

For more than three decades, NetApp has helped the world’s leading organizations navigate change – from the rise of enterprise storage to the intelligent era defined by data and AI. Today, NetApp is the Intelligent Data Infrastructure company, helping customers turn data into a catalyst for innovation, resilience, and growth.

 

 

At the heart of that infrastructure is the NetApp data platform – the unified, enterprise-grade, intelligent foundation that connects, protects, and activates data across every cloud, workload, and environment. Built on the proven power of NetApp ONTAP, our leading data management software and OS, and enhanced by automation through the AI Data Engine and AFX, it delivers observability, resilience, and intelligence at scale.

 

 

Disaggregated by design, the NetApp data platform separates storage, services, and control so enterprises can modernize faster, scale efficiently, and innovate without lock-in. As the only enterprise storage platform natively embedded in the world’s largest clouds, it gives organizations the freedom to run any workload anywhere with consistent performance, governance, and protection.

 

 

With NetApp, data is always ready – ready to defend against threats, ready to power AI, and ready to drive the next breakthrough. That’s why the world’s most forward-thinking enterprises trust NetApp to turn intelligence into advantage.

 

 

Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram.

 

 

NETAPP, the NETAPP logo, and the marks listed at www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.

 

 

 

 

View source version on businesswire.com: https://www.businesswire.com/news/home/20260316779334/en/

 

Business Wire India

Cushman & Wakefield (NYSE: CWK), a leading global real estate services firm, has appointed Victoria Lake as Chief Financial Officer (CFO), APAC & EMEA.

 

Lake is a senior executive who joins from Accenture, where she was Deputy CFO of its substantial EMEA business. Her 20 years at Accenture involved serving in multiple leadership roles, including Managing Director, Accenture Corporate Development, leading M&A teams on acquisitions including five sustainability companies. Her experience also includes leading teams and large-scale programs across audit, advisory, client transactions, financial reporting and strategic planning. She began her career at Deloitte.

 

 

At Cushman & Wakefield, Lake will lead all aspects of finance for APAC and EMEA, partnering with regional leadership and global functions to accelerate growth and profitability. Lake, who will be based in London, is a Fellow Chartered Accountant (FCA) with the Institute of Chartered Accountants in England and Wales (ICAEW).

 

 

“I am delighted to welcome Victoria to the firm, and I know she will play an important role in the continued evolution of our finance capabilities,” said Neil Johnston, Global CFO, Cushman & Wakefield. “She is a senior leader who has designed and implemented finance transformations that improve decision-making and drive significant profitable growth and I’m looking forward to her joining our global finance leadership team.”

 

 

“Victoria will bring a depth of experience and expertise that will further accelerate our transformation to a globally integrated and digital enabled platform. This includes a fluency in digital operating models, AI and advanced analytics which will not only drive productivity and efficiency gains for our business but will also help broaden our suite of advanced digital tools for our salesforce, coupled with innovative solutions for our clients,”said Matthew Bouw, Chief Executive, APAC & EMEA, Cushman & Wakefield.

 

 

“Cushman & Wakefield is an excellent cultural and strategic fit and is an organization that shares my passion for connecting data to drive innovation and improved outcomes. I’m looking forward to contributing to its next phase of profitable growth,” said Victoria Lake, CFO, APAC & EMEA, Cushman & Wakefield.

 

 

About Cushman & Wakefield

 

 

Cushman & Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for occupiers and investors with approximately 53,000 employees in over 350 offices and nearly 60 countries. In 2025, the firm reported revenue of $10.3 billion across its core service lines of Services, Leasing, Capital markets, and Valuation and other. Built around the belief that Better never settles, the firm receives numerous industry and business accolades for its award-winning culture. For additional information, visit www.cushmanwakefield.com

 

 

 

 

View source version on businesswire.com: https://www.businesswire.com/news/home/20260313711371/en/

 

Business Wire India

Miro®, the AI Innovation Workspace for teams, today announced plans to expand its operations in Asia, supporting organisations across the region in their AI transformation journey. Miro is investing in people, resources, and infrastructure as it targets growth in key markets, including Singapore, India, South Korea, and other Southeast Asia countries.

 

As the global innovation centre of gravity shifts toward Asia – where R&D spending reached 45% of global investment in 2024 – the organisations leading this charge need tools and platforms built for the complexity and pace of modern innovation and collaboration. Miro’s AI-powered innovation workspace is uniquely positioned to support this moment. Miro gives organisations the shared context layer they need to move from insight to execution faster than ever before. For Asia’s most ambitious innovators, where speed-to-market and cross-border collaboration are existential priorities, Miro provides the link between human creativity and AI capability.

 

 

At the heart of Miro’s expansion strategy is a new Asia hub located in Singapore. This hub will serve both the Singapore domestic market and provide a launchpad into neighbouring countries. The move strengthens Miro’s ability to support its existing customers, reach new customers, and continue to build an ecosystem with regional partners, including AWS, Vsaas Global, GoPomelo, Altudo, and others.

 

 

“Singapore is a natural choice as a location to base our Asia operations,” said Sunil Pamnani, Head of Asia Sales at Miro. “This is a place where organisations, and government institutions alike understand the need for transformation – not just adoption. They value long-term thinking, disciplined execution, and technology that delivers real outcomes. That mindset is exactly what’s needed to reimagine how teams and AI work together.”

 

 

“The opportunity to grow our customer base across Asia is significant,” said Brigid Archibald, Head of JAPAC at Miro. “Our investment in Singapore is part of a lasting commitment to customers, partners, and our wider ecosystem across the region. Organisations are at a critical moment where they need to deliver on their AI investments and move from experimentation to integration. Miro is helping leaders to achieve this.”

 

 

Globally, Miro has 100M+ users and more than 250,000 customers. A significant number of these customers are based in countries across the region – and they are already using Miro and realising the benefits of embedding Miro into their workflows and critical operations. These include TCS Pace (operated by Tata Consultancy Services) and Frasers Property, which are using Miro to reduce time to market for product development lifecycle, improve the quality of ideas, and redefine their innovation processes.

 

 

“With Miro AI, we can use intelligent prompts to challenge assumptions, test ideas, and explore new perspectives,” said Subin Pillai, Product Manager and Studio Lead at TCS Pace. “Miro Sidekicks acts like any other team member, helping validate use cases, suggest improvements, and simulate real-world scenarios. I could prompt it to take on different personas, to challenge our assumptions, to offer perspectives that broke through our mental debt. Suddenly, we weren’t just facilitating a workshop. We were orchestrating a symphony of human and artificial intelligence. The impact is 50% faster innovation cycles with working prototypes in 90 minutes.”

 

 

“Miro has saved us time, reduced costs, and made innovation more accessible,” said Iris Tan, Senior Manager, Strategic Innovation at Frasers Property. “Our senior leaders and global participants now use it to structure ideas and drive strategic decisions faster than ever before. We’ve moved away from simply building spaces to truly understanding what our tenants and their customers need. Design thinking is the foundation of that shift, and Miro allows us to embed it across our entire organisation.”

 

 

About Miro

 

 

Miro is the AI Innovation Workspace that brings teams and AI together to plan, co-create, and build the next big thing, faster. Serving more than 100 million users across 250,000 customers, Miro empowers cross-functional teams to flow from early discovery through final delivery on a shared, AI-first canvas. With the canvas as the prompt, Miro’s collaborative AI Workflows keeps teams in the flow of work, scales shifts in ways of working, and drives organisation-wide transformation. Founded in 2011, Miro currently employs more than 1,600 people in 13 hubs around the world. To learn more, visit https://miro.com.

 

 

Miro and the Miro logo are trademarks or registered trademarks of RealtimeBoard, Inc., in the United States and/or other countries. Other product and company names mentioned herein may be the trademarks of their respective owners.

 

 

 

 

View source version on businesswire.com: https://www.businesswire.com/news/home/20260316358139/en/