Introduction
The tech-heavy Nasdaq closed higher on Tuesday, leading gains on Wall Street amid investor excitement about artificial intelligence (AI) before earnings reports from megacap technology companies Alphabet (NASDAQ:GOOGL) and Microsoft (NASDAQ:MSFT) after the bell. This surge in the market is a testament to the growing influence of AI on various sectors, especially in the tech industry.
The AI Impact
AI has been the fuel behind the trend of companies becoming smarter and more efficient. Astonishing advancements in AI and its sub-segments machine learning and deep learning have allowed companies to achieve new levels of efficiency in data analysis that impact their entire business. The rising tide of AI adoption across industries is set to drive significant growth in the next decade, with AI software revenue projected to reach almost $90 billion by 2025.
Investors and venture capital firms are finding big growth opportunities in the AI business. There has been a 14x increase in the number of active AI startups since 2000, and investment into these startups by VC firms has increased 6x in that period. Meanwhile, jobs requiring AI skills have increased 4.5x since 2013, indicating the growing demand for AI expertise in the job market.
AI in IT and Beyond
The IT organization, which deals full-time with data, is perhaps the biggest beneficiary of AI’s capabilities. AI is being used to help resolve employee technical support issues, automate internal system enhancements, and ensure that employees only use technology from approved vendors.
However, AI’s influence extends beyond IT. Among the most common examples of AI in the enterprise are image recognition and tagging, patient data processing, localization and mapping, predictive maintenance, predicting and thwarting security threats, and intelligent recruitment and HR management techniques.
AI is also finding a home in marketing and sales operations, where intelligent use of data and the ability to learn from human interactions can produce big financial benefits. In a worldwide survey, 87 percent of current AI adopters said they were using or considering using AI for sales forecasting and for improving e-mail marketing.
The AI Leaders
Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90 percent of this spent on R&D and deployment, and 10 percent on AI acquisitions. The current rate of AI investment is 3x external investment growth since 2013.
Netflix has achieved impressive results from the AI algorithm it uses to personalize recommendations to its 100 million subscribers worldwide, improving search results and avoiding canceled subscriptions from frustrated customers who couldn’t find what they wanted (with a potential impact of $1B annually).
Financial data specialist Bloomberg uses techniques like computer vision and natural language processing to improve the breadth of information available through their ubiquitous terminals that financial staff use to access market information. Users can use natural language in queries instead of specialized technical commands, which is analyzed and executed by AI.
Conclusion
AI and Machine Learning are revolutionizing the way companies access and process data to become smarter and more efficient organizations. And IT and data science teams are gearing up for the immense benefits of AI in their enterprises. As the AI mania continues to fuel Wall Street’s rally, it’s clear that the influence of AI on various sectors, especially in the tech industry, is only set to grow.
The excitement around AI and its potential impact on various sectors is a key factor driving the current market rally. As companies continue to invest in AI and harness its capabilities, it’s clear that the AI mania is far from over. The upcoming earnings reports from Alphabet and Microsoft are eagerly anticipated, as they will shed more light on the role of AI in driving their growth and profitability.
As we delve deeper into the AI era, it’s clear that the companies that can effectively leverage AI will be the ones leading the pack. The AI mania is not just a passing trend, but a sign of the times as we move towards a more data-driven and AI-powered future.