ROBO GLOBAL^® Artificial Intelligence Index

Investing in Artificial Intelligence

Industry Classification

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ROBO Global Artificial Intelligence Index

Primary Index Series	Live Date	Index Ticker	Download Fact Sheet
ROBO Global® Artificial Intelligence Index	8/21/18	THNQ

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Sub Index Series	Sub Index Series Name	Live Date	Index Ticker

THE REVOLUTION

For investors, AI is still in the early stages of adoption. Historically, the stock market tends to under-appreciate the scale of opportunity enjoyed by leading providers of new technologies at this phase of development. As we watch AI companies paving the path, it is growingly evident that those involved in the space are on course to grow faster than many existing public companies. For those too hoping to profit from this growth, the biggest takeaway is this: AI is not just coming, it’s here.

The data shown is derived from the published index values.
Data prior to 21 August 2018 is based on simulated back-tested data.

Unique Quarterly Process for Company Inclusion

The ROBO Global Index includes more than 80 stocks across 12 subsectors in 14 countries. The Index is built to minimize risk by limiting reliance on the largest-cap players, and it is carefully structured to capture the growth of rapidly developing robotics and automation companies around the globe.

BEHIND THE

MACHINES

To date, we have identified 11 subsectors of suitable product and technology maturity to the AI theme that carry high growth and earnings potential. The result is an investible universe of market leaders with strong growth prospects and revenue generation across the landscape of AI.

Semiconductor

The exploding use of AI is ushering in a new era of semiconductor architectures and computing platforms that can handle the accelerated processing requirements of an AI-driven world. To tackle the challenge, semiconductor companies are creating new, more advanced AI chip engines using a whole new range of materials, equipment, and design methodologies.

Factory Automation

Industrial automation remains a hotbed for AI as factories go digital. Machine learning and predictive maintenance increase factory and supply chain efficiencies, shorten time to market, and improve safety. Sensing and advanced computer vision technologies using AI enable greater efficiency gains in logistics.

eCommerce

eCommerce leverages the power of AI to better understand customers, generate new leads, and improve customer engagement. New advancements in natural language processing and image recognition are being used to deliver highly personalized search results, create more efficient sales and lead generation, and streamline global commerce.

Cognitive Computing

Cognitive computing provides a higher level of human-like problem solving by using computer-based neural networks to process information, and by giving computers the ability to think, reason, and remember—all without human intervention. Solutions that offer these advanced deep-learning algorithms are driving unprecedented developments in medicine, education, agriculture, and more.

Cloud Providers

Public and private cloud platforms are the key to storing and sharing the massive amounts of data required to feed AI processes, and to delivering the standardization required for AI automation. By increasing the speed of innovation, rapidly delivering new services, and supporting the latest advancements in AI, cloud providers help companies accelerate the delivery lifecycle and rapidly evolve and improve products and services.

Big Data/Analytics

Predictive analytics, predictive maintenance, data aggregation, and data analysis are among the AI technologies that give companies the power to analyze and predict outcomes. This level of deep, AI-driven analysis informs better marketing, sales, and business decisions. The result: actionable, predictive insights that help companies improve customer experiences, deliver more targeted offerings, and solve complex business challenges.

Consulting Services

Understanding how to apply leading-edge technology and intelligent product design to support existing business structures is vital to achieving optimal benefits from AI. When companies lack internal AI expertise, AI consulting firms provide knowledge and insights to create effective AI strategies, evaluate AI technologies, and deliver integration services to support the full applications lifecycle and drive greater efficiencies, cut costs, and increase operating margins.

Business Process

AI-powered tools help organizations analyze and leverage massive amounts of data to better understand customer behavior, detect fraud, streamline supply chains, and refine internal efficiencies. AI’s ability to transform business models seems nearly endless, and innovations in machine learning, data analytics, and automation are enabling companies to re-imagine traditional workflows and target new market opportunities.

Security & Surveillance

Removing people from harm’s way has always been one of the main drivers for robotics research. However, mimicking humans’ ability to identify and manage threats via automation has been a major challenge due to the high level of flexibility and cognitive skills that humans possess. Using new capabilities offered by today’s technologies, this is changing rapidly. Unmanned aircraft and ground vehicles are now able to detect hazardous materials, dispose bombs, operate in space, and perform critical national defense functions (surveillance).

Consumer

Robotics and AI have officially entered the home, enhancing our toys, games, and household cleaning devices, and automating many household tasks. The Internet of Things (IoT) promises to usher in a new area of interconnectivity of consumer products. By communicating through the existing internet infrastructure, devices will no longer be isolated islands of limited capabilities. This shift will dramatically reduce the cost of robotics and AI- enabled consumer products, resulting in a significant increase in adoption.

Portfolio Composition

The ROBO Global Artificial Intelligence Index includes more than 60 stocks across 11 subsectors in 16 countries. The Index is built to minimize risk by limiting reliance on the largest-cap players, and it is carefully structured to capture the growth of rapidly developing artificial intelligence companies around the globe.