The distributed denial-of-service (DDoS) threat landscape is undergoing a radical transformation. No longer the domain of high-cost, high-complexity adversaries, the ability to launch sophisticated and disruptive DDoS campaigns has been democratized by artificial intelligence (AI). These capabilities are no longer limited to nation-states or cybercrime syndicates. They are now accessible to a wide range of actors, thanks to the growing availability of AI-driven attack automation tools and scalable cloud infrastructure.

The rise of artificial intelligence is transforming the nature of distributed denial‑of‑service (DDoS) attacks, creating a new level of urgency for mid‑market manufacturers and industrial operators to strengthen their cyber defenses. According to Michael Honeycutt, who leads product marketing at Corero Network Security, the latest wave of AI‑assisted DDoS activity is faster, more adaptive, and more accessible to would-be attackers than ever before. It is forcing organizations to rethink the way they secure both information technology (IT) and operational technology (OT) networks.

Gartner defines Earth intelligence as the application of AI to Earth observation data to deliver solutions specific to industries and business functions. It encompasses gathering and providing Earth observation data, fit-for-purpose transforming it, and then using it to produce actionable insights with domain-specific AI models, tools and applications.

The information technology sector led AI investment activity in Asia Pacific in 2024, according to IDC, with the majority of deals targeting cloud computing, cybersecurity, SaaS platforms, data analytics, and machine learning. Healthcare followed as a fast-rising sector, driven by breakthroughs in diagnostics, drug discovery, and personalized treatment. Regionally, China, South Korea, and Japan attracted the most AI capital, while India stood out for its software-driven, scalable AI innovation

Artificial intelligence is accelerating the transformation of intelligence operations at a time when the complexity, scale, and urgency of global threats are intensifying. As national security priorities shift from tactical counterterrorism to strategic competition with technologically advanced adversaries, the traditional intelligence cycle — characterized by sequential data collection, human analysis, and post-hoc reporting — is being reengineered.

Automation, AI assistants, and the quest for customer value in service will transform customer service and support by 2028, according to Gartner, Inc.

Healthcare organizations are grappling with an intensifying cybersecurity crisis. Sophisticated ransomware groups, vulnerable legacy systems, expanding digital footprints, and limited security resources have combined to create what some experts call a “perfect storm” of risk exposure. To explore how providers can better protect themselves, BizTechReports spoke with Vince Crisler, Chief Strategy Officer of Celerium, a cybersecurity firm focused on automated detection and surgical containment of cyber threats.

According to the Worldwide Augmented and Virtual Reality Spending Guide published by International Data Corporation, EMEA augmented reality (AR) and virtual reality (VR) spending will reach $8.4 billion by 2029, reflecting 16% five-year compound annual growth rate (CAGR). The consumer sector will lead investment in the AR/VR market, and this trend is expected to persist throughout the forecast period. However, enterprise adoption is also anticipated to rise due to the growing demand for headsets.

As digital transformation strategies mature across industrial sectors, the limitations of centralized cloud architectures are becoming harder to ignore. For critical applications in manufacturing, energy, finance, and healthcare, the need for real-time decision-making has propelled edge AI from a futuristic concept to a present-day operational requirement. Below are key takeaways from the webinar “Establishing a Framework for Transforming Industrial Operations with Real-Time Edge AI,” in which Penguin Solutions' John Chaves shared his perspectives on the emerging trajectory of innovation in industrial environments.

The Indian public cloud services (PCS) market, including infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) solutions, and software-as-a-service (SaaS), revenue totalled $10.9 billion for 2024, according to the International Data Corporation (IDC) Worldwide Semi-annual Public Cloud Services Tracker, 2H 2024. The overall Indian public cloud services market is expected to reach $30.4 billion by 2029, growing at a CAGR of 22.6% for 2024-29.

The global focus in national security is pivoting away from counterterrorism and toward great power competition with adversaries such as China and Russia, driving significant change in the tools and techniques used in intelligence analysis. This is all occurring as artificial intelligence (AI), once viewed as a speculative enhancement to traditional tradecraft, has evolved into a critical factor for how U.S. intelligence professionals collect, process, and act on massive volumes of data.

Healthcare organizations are facing a perfect storm of cybersecurity threats, as legacy systems, budget constraints, and an expanding attack surface make them prime targets for increasingly sophisticated cybercriminals. As a result, the sector’s traditional defenses are no longer sufficient to match the capabilities of today’s attackers, according to Vince Crisler, Chief Strategy Officer (CSO) for Celerium, a cybersecurity firm that specializes in automated, active network defense.  

Worldwide smartphone shipments are forecast to grow 0.6% year-over-year (YoY) in 2025 to 1.24 billion units, according to the International Data Corporation Worldwide Quarterly Mobile Phone Tracker. The forecast was reduced from the 2.3% growth in the February forecast, due to high uncertainty, tariff volatility and macro-economic challenges such as inflation and unemployment across many regions leading to a slowdown in consumer spending. Growth will remain in low single digits throughout the forecast period, with a five-year compound annual growth rate (CAGR) of 1.4% due to increasing smartphone penetration, lengthening refresh cycles, and cannibalization from used smartphones.

The report finds that since GenAI’s proliferation in 2022, productivity growth has nearly quadrupled in industries most exposed to AI (e.g. financial services, software publishing), rising from 7% from 2018-2022 to 27% between 2018-2024. In contrast, the rate of productivity growth in industries least exposed to AI (e.g. mining, hospitality) declined from 10% to 9% over the same period.

The life insurance industry is steadily overcoming long-standing friction to digital transformation as consumer expectations, regulatory demands, and operational inefficiencies converge with emerging technologies and viable AI-enabled business strategies. While historically slow to modernize—due in part to legacy systems, complex stakeholder relationships, and a risk-averse culture—the sector is now reaching a tipping point. Accelerated by the pandemic and reinforced by changing demographics, insurers are embracing tools that promise both efficiency and enhanced customer engagement. 

Forty-five percent of leaders in organizations with high AI maturity said their AI initiatives remain in production for three years or more to ensure sustained impact and value, according to a survey by Gartner, Inc. This compares to only 20% in low-maturity organizations.

As AI workloads move closer to the data source, organizations are being forced to reassess how they structure infrastructure, coordinate operations, allocate investment, and govern change. This shift was explored in depth during a webinar hosted by Penguin Solutions (formerly Stratus Technologies) titled “Establishing a Framework for Transforming Industrial Operations with Real-Time Edge AI,”.

Nearly half of Indian enterprises are now testing agentic AI solutions, signaling a major shift in how organizations approach workforce transformation and enterprise automation. According to the IDC report Augmenting Human Capabilities: The Role of Agentic AI in the Future of Work in India, agentic AI, defined by its ability to act autonomously, learn continuously, and operate with contextual intelligence is emerging as a transformative force at the heart of digital innovation

In this Q&A, Krauthamer explains the strategic context of the quantum threat, operational readiness challenges, cost dynamics, and how crypto-agility can serve as both a security enabler and a source of long-term risk reduction. Her insights are grounded in both national defense experience and enterprise adoption, making this conversation essential for cybersecurity and IT leaders navigating the quantum era in both private and public sectors.

The newly released ISG Market Lens Data and AI Programs study finds that three-quarters of companies expect to increase their annual budgets in the next two years for projects such as improving data quality, integration and security, even as most overall IT budgets remain flat. A majority of enterprises expect the value created by data initiatives to grow by more than 10 percent in that time. However, high spending in some areas has delivered low performance so far.