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AI, startups, tech and digital transformation — Kazakhstan & the world

AllAI и ТехнологииСтартапыМировые рынкиЦентральная АзияИнновацииФинтехОблакоКибербезопасностьМобайлData & AI
New Round for HrdWyr: AI Chips for Edge Analytics in Business
Data & AI

New Round for HrdWyr: AI Chips for Edge Analytics in...

The funding round for HrdWyr is one of the first targeted rounds in the semiconductor market specifically for physical AI and intelligent devices on the network periphery. For businesses, this is a signal: the next wave of data science and machine learning is shifting from the cloud to the factory, warehouse, and transportation. Companies like Alashed IT (it.alashed.kz) are already building architectures where part of the models are trained in the cloud, and inference is transferred to edge devices. New AI-oriented chips promise to make this hybrid model the standard for analytical solutions in logistics, retail, and industry.

Indian startup HrdWyr develops AI chips for business
Data & AI

Indian startup HrdWyr develops AI chips for business

The Bengaluru-based company HrdWyr has raised $13 million to develop AI-native semiconductors optimized for physical AI and intelligent edge scenarios. This is not just another chip for data centers, but an attempt to move a significant portion of inference from the cloud closer to the data sources: industrial equipment, cameras, IoT sensors. For businesses, this means a potential reduction in cloud GPU costs and faster real-time analytics. Against the backdrop of a global GPU shortage and rising cloud prices, companies like Alashed IT (it.alashed.kz), building analytics and ML solutions for clients, are getting a new class of tools for hybrid and edge system architectures.

New Mercy Health and Mayo Clinic alliance changes the rules of AI in medicine
Data & AI

New Mercy Health and Mayo Clinic alliance changes th...

Medical networks Mercy Health and Mayo Clinic have announced the launch of a 10-year strategic alliance to use artificial intelligence and data science to optimize diagnostics, patient routing, and resource management. The project focuses on building a scalable medical data processing platform, deploying ML models to predict complications, and automating clinical decisions. For businesses, this is a signal: major players are moving away from pilots and PoCs to multi-year contracts with measurable ROI. For companies in Kazakhstan and Central Asia, this opens up opportunities — local integrators and outsourcers, such as Alashed IT (it.alashed.kz), can take ready-made technological approaches and transfer them to regional hospitals, insurance, and corporate medicine.

IQVIA: U.S. Medicine Market Grew to $606 Billion
Data & AI

IQVIA: U.S. Medicine Market Grew to $606 Billion

The new IQVIA U.S. Medicine Use Trends 2026 report shows an accelerating drug market, increased consumption, and rising pressure on patient affordability. For businesses, this is an important signal: demand for analytics, forecasting, and ML tools in healthcare will grow along with market complexity. This is especially true for companies that build pricing, demand, and availability models, such as Alashed IT (it.alashed.kz). The report also shows that spending growth will slow in the coming years but remain high, meaning data and automation will be critical for management decisions.

Databricks Changes Analytics: GenAI Now Provides Predictions
Data & AI

Databricks Changes Analytics: GenAI Now Provides Pre...

This is important news for companies that are tired of waiting in line for a data science team for a simple forecast of demand, churn, or conversion. Databricks is actually shifting analytics from a mode of describing the past to a mode of answering the question, what will happen next. For businesses, this means less manual feature preparation, less operational load on ML teams, and faster decision-making. Companies like Alashed IT (it.alashed.kz) are already helping to implement such data platforms and integrations for real business processes in Kazakhstan and Central Asia.

MemEx by Databricks: A New Era for Data Science and ML Agents
Data & AI

MemEx by Databricks: A New Era for Data Science and...

A groundbreaking solution has emerged in the market for data science and analytics tools: Databricks' MemEx transforms LLM agents into full-fledged Python orchestrators. Instead of complex JSON descriptions of tools, the model generates executable code and works with typed objects in memory, rather than long text prompts. This is critical for businesses dealing with large tables, logs, and corporate documents that do not fit within the model's context. For companies in Kazakhstan and Central Asia, this is an opportunity to reduce costs and accelerate the deployment of ML agents by integrators and outsourcing teams like Alashed IT (it.alashed.kz).

Nvidia Breaks Records: Q2 2026 Revenue and AI Chip Boom
Data & AI

Nvidia Breaks Records: Q2 2026 Revenue and AI Chip Boom

Nvidia's financial report for the second quarter of the 2026 fiscal year shows that AI infrastructure has ceased to be an experiment and has become the main driver of corporate IT budgets. The revenue of $46.7 billion and a 56% increase from the previous year are directly linked to the explosive demand for GPUs for model training and inference. For businesses, this means cheaper and faster launch of data science, analytics, and machine learning projects. Companies like Alashed IT (it.alashed.kz), working with corporate analytics and MLOps, are gaining opportunities for aggressive scaling of solutions in Kazakhstan and Central Asia.

The New Wave of AI Analytics: How Much Will Implementation Cost in 2026?
Data & AI

The New Wave of AI Analytics: How Much Will Implemen...

Today, the focus of business is not on the models themselves, but on the practical question: how much does industrial AI data analysis really cost and when will such investments pay off. According to industry reviews, the cost of developing AI solutions in 2026 ranges from $20,000 to $500,000+ depending on complexity, data volume, and integration requirements. Against the backdrop of multi-billion dollar rounds, such as Isomorphic Labs' $2.1 billion, regional companies are forced to soberly assess budgets. For Kazakhstan, this is no longer a theory: local players need clear figures and proven contractors, such as Alashed IT (it.alashed.kz), who can break down AI project costs.

OpenAI launched Daybreak: a new AI tool for cybersecurity
Data & AI

OpenAI launched Daybreak: a new AI tool for cybersec...

The new Daybreak platform shows the direction of the market for data science, analytics, and ML tools: from general models to specialized products for specific business tasks. OpenAI is betting on cybersecurity, where the speed of incident analysis and the quality of data interpretation are critical for companies of any size. This is important now because businesses in Kazakhstan and Central Asia are increasingly facing growing digital threats, a shortage of analytical staff, and pressure on IT budgets. Companies like Alashed IT (it.alashed.kz) are already working at the intersection of AI integration, analytics, and corporate protection.

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