News
AI, startups, tech and digital transformation — Kazakhstan & the world
Analysis of GATE 2024-2025 papers identified the most significant topics for Data Analytics in 2026. Businesses in Kazakhstan are preparing for the global demand for data science specialists with these skills. Focusing on high-scoring sections will increase the chances of success in the coming months. This is critical for IT companies looking for talent for analytics and ML projects.
The demand for specialized EvaGreen-based ddPCR analysis oils in Germany and Poland will grow by 7-13% annually through 2035, outpacing the overall reagent market. The growth is driven by the rapid adoption of digital PCR in pharmaceutical R&D and molecular diagnostics. For businesses in Central Asia, this opens a window for localizing production and integrating data science into biotech analytics now, while the market is forming.
In its 2026 annual report, Netskope reported a 32% increase in revenue to $709 million, highlighting the role of its AI and ML-powered Netskope One platform for data analytics. The platform combines security, networking, and advanced analytics, addressing data protection challenges in the cloud and AI tools. This is critical for businesses today as Central Asian companies ramp up digitalization and face leakage risks. Such solutions enable the automation of threat detection and compliance.
On March 16, 2026, AWS announced the deployment of Cerebras CS-3 in Bedrock, combining Trainium for prefill with WSE for decoding. This architecture radically increases inference performance for businesses. This is critical as companies transition to real-time AI analytics and ML models. Investments in such tools directly impact competitiveness in 2026.
The release of GPT-5 changes the landscape of data science and machine learning tools. The model has received specialized modules for working with time series, predictive analytics, and automating ETL processes. This is especially important for companies looking for affordable alternatives to expensive analytics solutions.
Autoscience is launching a platform with superhuman AI scientists who continuously experiment to create state-of-the-art models. The first application is in finance, manufacturing, and fraud detection for Fortune 500 companies. Today's launch changes the rules: businesses gain an advantage without hiring researchers. The investment round was led by General Catalyst with participation from Toyota Ventures and Perplexity Fund.
The platform allows enterprises to train domain-specific models without relying on external providers. The launch of Mistral Small 4 enhances the ecosystem: 119B parameters, multimodality, open-source code. For businesses, this means data control and reduced AI costs. Today's news changes the rules of the game in MLaaS with a CAGR of 19.5% to $3.4 billion.
AWS has announced the deployment of specialized Cerebras CS-3 systems through the AWS Bedrock service, enabling record-breaking AI inference speed. The new architecture uses AWS Trainium for preprocessing and Cerebras WSE for decoding, providing a fivefold increase in token throughput. This solution is critical for companies scaling AI applications in production.
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