The Good Tech Companies - A Pragmatic Look at 2025 Technology Trends: What You Need to Know

Episode Date: April 4, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/a-pragmatic-look-at-2025-technology-trends-what-you-need-to-know-ggezog7. ELEKS' tech experts have dissected predictions from Gartner, IDC, Deloitte, and KPMG to evaluate each trend's real deployment risk and business value.  Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #tech-trends, #generative-ai, #ai-agent, #sustainability, #cybersecurity, #finops, #good-company, and more. This story was written by: @elekssoftware. Learn more about this writer by checking @elekssoftware's about page, and for more stories, please visit hackernoon.com. ELEKS' tech experts have dissected predictions from Gartner, IDC, Deloitte, and KPMG to evaluate each trend's real deployment risk and business value. 

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. A pragmatic look at 2025 technology trends. What you need to know, by ELEKS. Every year, C-suite executives need to wade through endless forecasts to find technology that actually moves the needle. ELEKS's tech experts have dissected predictions from Gartner, IDC, Deloitte, and KPMG to separate signal from noise. But we didn't just compile a list, we applied our 30-plus years of engineering expertise to evaluate each trend's real deployment risk and business value. Artificial intelligence, no longer just hype, AI is

becoming as fundamental as electricity or the Internet. Both Gartner and Deloitte agree that in 2025, it's only getting bigger, especially with generative AI. It's evolving from a mere automation tool to the cornerstone of business strategy. Generative eye, beyond the chatbot, equals equals elix, expert evaluation, deployment risk, low business value. High equals equals the most significant shift

is how gen AI is maturing and embedding itself in enterprise operations. It's not just about shiny new systems, it's also about breathing life into expensive legacy systems. According to Gartner, by 2028, generative AI will reduce the cost of modernizing legacy applications by 30% compared to 2023 levels. What's most interesting is how Gen.ai is changing workplace knowledge flow. Instead of digging through docs or bothering colleagues, workers can get answers instantly. Gartner reports that 75% of developers will use generative AI for learning new skills. Business benefits you can actually bank on. High voltage efficiency boost.

Let AI handle the boring stuff so humans can do the creative thinking money bag cost optimization. Automate processes. Modernize legacy systems. And manage resources better cool customer experience. AI driven personalization and 24-7 support that doesn't suck rocket faster innovation. Test concepts and build prototypes faster, reducing time to market AI agents. The next evolution equals equals elix, expert evaluation, deployment risk, low business value, high equals equals, greater than agentic AI should be the bullseye of our focus in

2025. Multi-agent workflows greater than in particular, which are highly complex and require governance, should present greater than a rich opportunity. Alex Shegda, ELEKS VP of Technology for Get Basic Chatbots Enterprise AI agents are becoming sophisticated business tools. Here's what's coming. Increased autonomy. AI systems working as teams to manage complex tasks like supply chains without constant

human babysitting. Superagents. Advanced multiagents that coordinate other AI systems across industries. Multimodal capabilities. Systems that can understand text, images, video, and 3D simultaneously. Spatial computing integration. AI that understands our natural behaviors without requiring specialized commands. Investors have poured over $2 billion into agentic AI startups in the past two years, focusing their investment on companies that target the enterprise market, says Deloitte. According to IDC, 50% of organizations will use enterprise agents configured for specific business functions instead of focusing on

individual copilot technologies to achieve faster business value from AI. Business benefits of agentic AI. Robot next-level automation. These agents don't just respond. They act independently based on goals-brain smarter decisions. They collaborate and make independent decisions while allowing human oversight anti-clockwise arrows enhanced coordination. Superagents optimize how AI systems work together globe environmental adaptability combined with spatial computing. They understand context naturally cell phone LLMs optimization. Enable large language models to run on small devices and offline as small language models. When

bigger isn't better equals equals elix expert evaluation, deployment risk, low business value high equals equals we're seeing a shift towards smaller specialized AI models designed for specific business needs. It's not about massive AI projects anymore. It's about practical integration into existing operations. YSLMs matter-speed train efficiency. LLMs are resource hogs and overkill for simple tasks bullseye specialization.

SLMs can be trained on specific data for specific problems locked data privacy. Run on device. Reducing cloud dependency seedling sustainability. Lower computing needs equal smaller carbon footprint. Greater than one challenge stands out in approximately 80% of cases related to modern gen AI greater than technologies. The IO validation of LLM based agents. This leads to problems greater than like

users bypassing system instructions or retrieving hidden data through greater than indirect prompt injections. Unfortunately, there's no single, effective greater than solution yet. Volodymyr Getmansky, Head of Data Science at Elix Cloud Computing. Evolution, not revolution. The cloud landscape is transforming rapidly, bringing both new opportunities and challenges. FINOPS. The CFO's new best friend == Elix, expert evaluation. Deployment risk.

Medium. Business value. Medium == Global cloud spending is expected to exceed $825 billion in 2025, as stated by Gartner. However, tracking and understanding cloud costs remain difficult. That's where FinOps comes in, tools and strategies that give you control over cloud spending. According to Deloitte, businesses could save up to $21 billion in 2025 by adopting FinOps tools and practices, with potential reductions of

up to 40% in some cases. Greater than what's notable for 2025 is the shift from reactive cost management to greater than proactive value optimization. When properly implemented, FinOps provides greater than C-suite leaders with real-time visibility into cloud ROI, something notably greater than absent in traditional approaches. Mikala Orlov, Head of DevOps at Elix FinOps Benefits, Bargraph optimize resources. Ensure maximum value from every cloud dollar-dollar note cost transparency. See spending across services, regions, and accounts Scroll regulatory compliance. Easier management of rules and requirements Runner business agility.

Align infrastructure with business objectives Hybrid clouds == ELEC's expert evaluation. Deployment risk. Medium. Business value. Medium == According to Gartner, by 2025, 90% of organizations are expected to implement a hybrid cloud strategy. This isn't just about having both on-premises and cloud systems, it's about creating a seamless environment, optimizing performance, cost, and security. Hybrid cloud advantages. Closed lock better security. Keep sensitive data private while leveraging the public cloud for everything else. Video game more control.

Choose where and how applications run world map data sovereignty. Keep sensitive data within specific geographic boundaries. Anti-clockwise arrows. IT flexibility. Allocate resources between private and public infrastructure as needed. Edge computing. The need for speed equals equals. ELEKS expert evaluation,

deployment risk, low business value, high equals equals edge computing continues to gain traction as businesses need faster data processing in real-time analytics. By 2025, edge computing is expected to process 55% of enterprise generated data, according to Deloitte. Edge computing payoffs, high voltage instant processing, no more waiting for data, according to Deloitte. Edge computing payoffs. High-voltage instant processing.

No more waiting for data to travel to distant servers and back electric plug smarter device management. Factory sensors and retail cameras work better than everlock data privacy compliance. When data stays local, you worry less about where it travels seedling sustainability. Reduced energy consumption and waste the best part? Edge devices now come with built-in AI capabilities, NPUs, making decisions without always checking in with the cloud. Think of it as shaving mini computers everywhere, handling their own tasks while staying connected when needed. Cybersecurity, greater than cybersecurity

isn't just about protecting data, it's about staying competitive. Greater than, Alexander Plushnikov, head of cybersecurity at ELEKSTHE evolving threat LANDSCAPAI integration in cybersecurity is a double-edged sword. While businesses use it for defense, attackers use Gen.AI for increasingly sophisticated attacks, creating convincing phishing campaigns and adaptive malware. Deepfakes make IT harder to distinguish authentic communications from fraudulent ones. Ransomware remains one of the most significant threats, evolving from simple encryption attacks

to sophisticated operations combining data theft with encryption. Compromised credentials create ripple effects throughout interconnected networks, especially in environments without robust multi-factor authentication. Defense mechanisms that actually work 40% of businesses will adopt DIY security solutions through AI-enabled automation, according to IDC. Companies are implementing Zero Trust Network Access, ZTNA, while security operations evolve towards semi-autonomous models where AI assists with alerts and threat prioritization. Cloud native security information and event management,

SIEM solutions address unique cloud challenges and organizations prepare for quantum computing threats with post-quantum cryptography. Success requires developing robust AI impact assessments, building crypto agile infrastructures, fostering collaboration between security, technology, and legal teams. Sustainability. Green is the new black. In 2025, sustainability will take center stage across sectors, driven by climate change urgency, regulatory pressures, and the energy demands of AI and other technologies. By 2026, 60% of organizations are expected to use generative AI to create more detailed and operationally focused strategies for sustainable transformation. By 2027, 25% of organizations will use AI platforms to create digital twins of their

supply chains, enabling the analysis of potential climate and weather-related risks. IDC carbon-free energy and sustainable operations greater than the intersection of energy transformation and business sustainability in 2025 greater than is remarkable. As renewable power gains traction and nuclear energy addresses greater than AI's growing demands, we're seeing a fundamental shift in energy strategies. Greater than GreenOps exemplifies this, companies aren't just tracking costs, we're seeing a fundamental shift in energy strategies. Greater than GreenOps exemplifies this. Companies aren't just tracking costs, they're greater than integrating energy efficiency and carbon metrics into core business decisions. Greater than, Lubamir Matcek,

sustainability practice lead at Elix the energy sector is transforming. Wind and solar have surpassed coal in annual US electricity generation, driven by customer demand, government regulations, and strategic investments. Nuclear energy is experiencing a renaissance, particularly for powering AI data centers. Small modular reactors, SMRs, and advanced modular reactors offer promising solutions for clean, reliable power. GreenOps has emerged as an evolution of FinOps, introducing sustainability metrics into cloud management. Companies measure not just costs but also carbon footprint, making environmental impact a key factor in technology decisions.

Regulations with real teeth the regulatory environment in 2025 has tightened, with the EU leading. The digital product passport requires transparent records of products' environmental impact. The Corporate Sustainability Reporting Directive CSRD integrates sustainability into financial reporting, while the Sustainable Finance Disclosure Regulation, SFDR, ensures environmental risks are properly accounted for in financial practices. Companies are responding globally by implementing high-informed carbon accounting software and integrating sustainability requirements into

procurement processes. Understanding which technology trends hold genuine potential for your business requires more than market research. Drawing on over 30 years of software industry experience, our certified experts help you evaluate emerging technologies against your specific business context. Book a strategy session with the expert. Thank you for listening to this Hacker Noon story, read by Artificial Intelligence. Visit HackerNoon.com to read, write, learn and publish.