DevOps.com: Digital Transformation (Dec. 12th)
IT - AI

AI is becoming a crucial component of all systems, leading to dramatic improvements in software and hardware capabilities

A new forecast from the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide shows that global spending on artificial intelligence (AI), including software, hardware, and services for AI-centric systems*, will reach nearly $118 billion in 2022 and surpass $300 billion in 2026. The ongoing incorporation of AI into a wide range of products will drive a compound annual growth rate (CAGR) of 26.5% over the 2022-2026 forecast. This is more than four times greater than the five-year CAGR of 6.3% for worldwide IT spending over the same period.

The steady maturation of MLCommons/MLPerf as an AI benchmarking tool was apparent in today's release of MLPerf v2.1 Inference results.

Twenty-one organizations submitted 5,300 performance results and 2,400 power measurement. While Nvidia again dominated, showcasing its new H100 GPU, Qualcomm impressed on both performance and power consumption metrics. Intel ran a Sapphire Rapids CPU-based system, albeit in the preview category. AI start-ups Biren, Moffet AI, Neural Magic, Sapeon were among the entrants.

When DeepMind, an Alphabet subsidiary, started off more than a decade ago, solving some most pressing research questions and problems with AI wasn't at the top of the company's mind.

Instead, the company started off AI research with computer games. Every score and win was a measuring stick of success, and pointed to DeepMind's AI going in the right direction.

'Five years ago, we conquered the game of Go. This was a great moment,' said Colin Murdoch, the chief business officer, during a fireside chat on Tuesday at the AI Hardware Summit being held in Santa Clara, California.

Many years on, the gaming experiment has now turned into a much more ambitious AI effort to solve massive problems in areas that include protein folding, nuclear fusion and quantum chemistry.


With the cloud, enterprises can easily experiment with machine learning capabilities and scale up as projects go into production and demand sees an uptick.

Many people are familiar with leading technology platforms like Windows, iOS, and AWS. Platforms are a group of technologies that serve as a base from which other applications are built and scaled. These platforms enable most of today's advanced technology capabilities and help organizations deliver cutting-edge customer experiences.

In a bid to maintain pace with the scale and complexity of the technological capabilities brought by big data, Artificial Intelligence (AI), and machine learning, many organizations are building sophisticated internal platforms. Businesses are beginning to understand that investing in the infrastructure requires training, testing, and deploying models and is crucial for long-term viability.


A new report from IDC predicts the global market value of artificial intelligence solutions will reach close to $450 billion in 2022 and will continue to grow over the next five years.

According to IDC's Worldwide Semiannual Artificial Intelligence Tracker, worldwide revenues for AI software, hardware, and services totaled $383.3 billion in 2021 for an increase of 20.7% over 2020.

The largest sector of the overall AI market was AI software in four categories: AI applications delivery and deployment, AI applications, AI system infrastructure software, and AI platforms. These categories combined to reach over $340 billion in market value in 2021 with AI applications accounting for nearly half. AI platforms demonstrated a YoY growth rate of 36.6%.


These five organizations are using natural language processing to better serve their customers, automate repetitive tasks, and streamline operations.

Data is now one of the most valuable enterprise commodities. According to CIO.com's State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year, and 58% say their involvement with data analysis will increase over the next year.

While data comes in many forms, perhaps the largest pool of untapped data consists of text. Patents, product specifications, academic publications, market research, news, not to mention social feeds, all have text as a primary component and the volume of text is constantly growing. According to Foundry's Data and Analytics Study 2022, 36% of IT leaders consider managing this unstructured data to be one of their biggest challenges.

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