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HomeUncategorizedmachine learning stats 2020

Source: Statistica, AI Startup Funding Reaches Record High, July 31, 2019. Machine Learning Open House For Accepted Ph.D. Students March 19 and 20, 2020 We hope you can visit us for our Machine Learning Open House, which begins on March 18, 2020… Deadline for free-of-charge cancellation is set to 26/11/2020. Keep it clean. When it comes to machine learning software, there is an estimate that the market will reach around $1 billion by 2025, and this is just for software. San Francisco, California, United States About Blog Practical guides on … With this data on machine learning and. 20% of AI-aware businesses use one or more technologies in a core business process. In reality, machine learning is but a subset of AI, making the latter perform tasks faster and more intelligently by providing it with learning capabilities. 20% of C-level executives now use machine learning as a core part of their operations. What is machine learning capable of so far? Source: IDC, Worldwide Spending on Artificial Intelligence Systems Will Be Nearly $98 Billion in 2023, According to New IDC Spending Guide. The global machine learning market is projected to grow from $7.3B in 2020 to $30.6B in 2024, attaining a CAGR of 43%. 2000 – The estimated number of Amazon Go stores in the US by 2021. For example, adding machine learning features to computers that can already process and analyze complex data sets is further improved to become business intelligence platforms. “You can have machine learning without sophisticated algorithms, but not without good data.” (Huffington Post) The global machine learning market was valued at $1.58B in 2017 and is expected to reach $20.83B in 2024. Algorithmia, 2020 state of enterprise machine learning, Nov., 2019 (PDF, 29 PP., no opt-in). Companies are seen to offer virtual agents to consumers. 42% – The estimated compound annual growth rate of the US deep learning market in 2025. Thank You for attending the 2020 New York R Conference. Factors that drive the development include machine learning capabilities like risk management, performance analysis, and reporting and automation. (The Motley Fool) “Garbage in, garbage out” is especially true in ML. Businesses around the world have embraced ML, with the majority of them claiming to be early adopters. 40% – The estimated productivity improvement from AI use. The Machine Learning as a Service Market Report provides comprehensive data on market dynamics, market trends, product growth rate, and price. Machine learning heavy hitters will use more GPUs and high-end chips over CPUs for AI applications because they’re faster. You may opt-out by. 97% of mobile users use AI-powered voice assistants. The market for machine learning is also on a steady growth path as applications increase by the day. NLP is expected to get more applications in customer service. It states that the Machine Learning market is anticipated to showcase a y-o-y growth rate of XX% between the years 2020 and 2025. The adoption of ML by enterprises has reached new heights as highlighted in a recent machine learning report. The financial sector is one of the most prominent adopters of the technology, which now leverages the power of. The Machine Learning as a Service market report has various facts and statistics assuming the future predictions of the upcoming market participants. This course is for life scientists to explore concepts of statistical modelling and machine learning, and gain new insights when mining large datasets. The financial sector is one of the most prominent adopters of the technology, which now leverages the power of AI software. document.getElementById("comment").setAttribute( "id", "a901a1e951f200b01329ab3c443eed2d" );document.getElementById("g870abf955").setAttribute( "id", "comment" ); FinancesOnline is available for free for all business professionals interested in an efficient way to find top-notch SaaS solutions. These benefits make machine learning a key component of AI, a fact that will be affirmed by the latest machine learning statistics. Netflix has discovered something profound about people around the world, The Washington Post Experiments With Automated Storytelling To Help Power 2016 Rio Olympics Coverage, 15 Artificial Intelligence (AI) Stats You Need to Know in 2018, Google Is Training Machines to Predict When a Patient Will Die, Stock Market Predictions with Natural Language Deep Learning, Google’s Machine Learning, Imaging Analytics Flag Breast Cancer, Deep Learning Achievements Over the Past Year, WaveNet: A generative model for raw audio, Professional Services Automation Software - PSA, Project Portfolio Management Software - PPM, 55 Notable Machine Learning Statistics: 2020 Market Share & Data Analysis, Deep learning market in the U.S. 2014 to 2025, by segment, Machine Learning in 2019: Tracing The Artificial Intelligence Growth Path. Here comes the most interesting part. But machine learning is not without its problems, the most pressing of which is the lack of skilled personnel to address machine learning problems. However, the deployment of ML comes with challenges, which include lack of access to data and shortage of skilled individuals to address machine learning problems. I've taught at California State University, Fullerton: University of California, Irvine; Marymount University, and Webster University. Software product marketing and product management leader with experience in marketing management, channel and direct sales with an emphasis in Cloud, catalog and content management, sales and product configuration, pricing, and quoting systems. Below 10,000 – The number of people who have the needed skills to address serious AI problems. 75% of users on Netflix choose movies suggested by machine learning algorithms of the company. But what kind of impact do AI and ML have beyond the data analytics realm? Business Analytics Draws IT Leaders to Machine Learning, Machine Learning and Artificial Intelligence Trends in 2019, Notes from the AI frontier: Applications and value of deep learning, NOTES FROM THE AI FRONTIER INSIGHTS FROM HUNDREDS OF USE CASES, ARTIFICIAL INTELLIGENCE IS THE FUTURE OF GROWTH. Distribute Results Finally, the NFL leverages AWS Lambda, Amazon ElastiCache, Quicksight, RDS, Route S3, API gateway, and DynamoDB to put the insights, predictions, and stats into broadcast analysis, scouting, and coaching tools. The best thing about ML, however, is the innovations that it has managed to create, among which are AI writing, lip-reading and even driving data collection and analysis. Adoption has been happening at break-neck speed as companies attempt to leverage the technology to get ahead of the competition. Topics covered include the statistical learning framework, estimation theory, model complexity, ensemble methods, mixture models, multilayer neural networks and deep learning, nonparametric methods, and active learning. 25% of IT leaders plan to use ML for security purposes. According to the survey, the most cited ML challenge … 780 million miles of driving data have been collected by Tesla. 10% – The estimated improvement in productivity from AI use. Get … The technology basically gives AI the ability to train a machine to learn. IDC Worldwide Spending on Cognitive and Artificial Intelligence Systems Forecast to Reach $77.6 Billion in 2022, According to New IDC Spending Guide. 87% of companies who use AI plan to use them in sales forecasting and email marketing. This is a beginner-level course that presents successful … With this data on machine learning and business intelligence, you should have a better appreciation of the technology and even use the statistics we provided to decide whether or not adoption is in order. Machine Learning by Stanford University. A senior FinancesOnline writer on SaaS and B2B topics, James Anthony passion is keeping abreast of the industry’s cutting-edge practices (other than writing personal blog posts on why Firefly needs to be renewed). 50% – The difference between human and AI-generated audio. What is machine learning capable of so far? We are able to keep our service free of charge thanks to cooperation with some of the vendors, who are willing to pay us for traffic and sales opportunities provided by our website. Previous positions include product management at Ingram Cloud, product marketing at iBASEt, Plex Systems, senior analyst at AMR Research (now Gartner), marketing and business development at Cincom Systems, Ingram Micro, a SaaS start-up and at hardware companies. 5% The error rate of speech recognition systems. Check out the following statistics to find out what’s cooking in the machine learning market. The adoption of ML by enterprises has reached new heights as highlighted in a recent machine learning report. NOTES FROM THE AI FRONTIER MODELING THE IMPACT OF AI ON THE WORLD ECONOMY. Stats and Bots - Medium. The extent of the popularity of machine learning is, by 2025, the estimated value of the US deep learning software market will be worth $935 Million. The Market for Machine Learning Continues to Grow. 65% of companies who are planning to adopt machine learning say the technology helps businesses in decision-making. The increase in ML adoption is seen to drive the cloud computing market’s growth. $1 billion – The amount Netflix saved from the use of machine learning algorithm. The machine learning market size has been steadily growing. Today, ML has imbued artificial intelligence with more capabilities. 850+ – The number of stories written by Washington Post AI writer Heliograf, during the 2016 US presidential election and the Rio Olympics. You can confirm this by reading relevant AI statistics currently available. Source: Azure Cortana Interactive Pricing Analytics Pre-Configured Solution. A concise report on ' Machine Learning market' Added by Market Study Report, LLC, features latest statistics and facts about market size, profit estimation and geographical spectrum of this industry. 61% of marketers say artificial intelligence is the most important aspect of their data strategy. Businesses and IT departments will begin to look at their analytics … 50% of all search activities will be powered by voice by the year 2020. Statistics is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning. 75% of Netflix users select films recommended to them by the company’s machine learning algorithms. Voice Assistant Anyone? 12% of Android users use voice assistants in public. Q3 2018 Topic Analysis, Software product marketing and product management leader with experience in marketing management, channel and direct sales with an emphasis in Cloud, catalog and content. Analytics life-cycle development. However, the technology is still in infancy that science fiction scenarios are still further down the road. A lot of other money is involved in this … Businesses around the world have embraced ML, with the majority of them claiming to be early adopters. # Dependencies # Standard Dependencies import os import numpy as np import pandas as pd from math import sqrt # Visualization from pylab import * import matplotlib.mlab as mlab import matplotlib.pyplot as plt import seaborn as sns # Statistics from statistics import median from scipy import signal from scipy.special import factorial import scipy.stats as stats from scipy.stats import … Also, current machine learning market research has revealed that the market for  AI-powered hardware and assistants are also expected to experience robust growth. $120 billion – The estimated global sales of AI-powered hardware by the end of 2025. $28.5 billion – The total funding allocated to machine learning worldwide during the first quarter of 2019. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. Statistics for Machine Learning Crash Course. Machine Learning as a Service Market Overview. Machine learning is an artificial intelligence (AI) application that offers devices with the capacity to learn and improve automatically from … This information will deepen your idea of what the technology does, what it can do, and how it actually helps companies. The technology has been driving innovations in enterprises, allowing them to make smart processes using AI with learning capabilities. I am also a member of the Enterprise Irregulars. ML has a subset called “deep learning.” This technology is built around machine learning practice and is responsible for the creation of the platforms behind voice assistants, which include Siri, Echo and Google Assistant. Be nice. 61% of marketers say AI is the most critical aspect of their data strategy. In reality, machine learning is but a subset of AI, making the latter perform tasks faster and more intelligently by providing it with learning capabilities. In this article, I’ll walk you through the statistics you need for Machine Learning. The technology has been driving innovations in enterprises, allowing them to make smart processes using AI with learning capabilities. ... Statistics and Machine Learning for Life Sciences - streamed. The complex statistics in machine learning worry a lot of Programmers. The proper knowledge of statistics will help you to build machine learning models that are optimized for a given problem. Furthermore, the report elucidates major challenges as well as the latest expansion strategies implemented by leading players of the ' Machine Learning market'. Machine learning challenges in companies 2018 and 2020 Machine learning M&A total deal volume worldwide 2010-2019 Importance of big data analytics and machine learning … $13 billion – The estimated value of the global natural language processing market by the end of 2020. Today, developers continue to find new uses for ML as you’ll find out in the statistics below. AI Funding Worldwide 2019 (In billions of US Dollars), Machine Learning Applications That Drive Adoption 2019, As its growing importance warrants further investigation, we have compiled the most relevant and recent machine learning statistics around. Big Ideas 2019, Innovation is the Key To Growth, Artificial Intelligence: Emerging Opportunities, Challenges and Implications, Artificial Intelligence in Europe: How 277 Major Companies Benefit from AI Outlook for 2019 and Beyond, AI at Scale: The Next Frontier in Digital Transformation, Accelerating Automotive’s AI transformation: How driving AI enterprise-wide can turbo-charge organizational value, March, Today’s AI Software Infrastructure Landscape (And Trends Shaping The Market), State of AI in the Enterprise, 2nd Edition, Early adopters combine bullish enthusiasm with strategic investments. Today, ML has imbued artificial intelligence with more capabilities. IDC, Worldwide Spending on Artificial Intelligence Systems Will Be Nearly $98 Billion in 2023, According to New IDC Spending Guide. This is the course for which all other machine learning courses are … Machine learning. How To Improve Supply Chains With Machine Learning: 10 Proven Ways, Microsoft Leads The AI Patent Race Going Into 2019, IDC Worldwide Artificial Intelligence Market Shares, 2018: Steady Growth — POCs Poised to Enter Full-Blown Production. 62% – The accuracy of machine learning in predicting stock market highs and lows. 15 minutes – Amazon’s ship time after it started using machine learning. EU Office: Grojecka 70/13 Warsaw, 02-359 Poland, US Office: 120 St James Ave Floor 6, Boston, MA 02116. Prer… 15% of organizations are already advanced ML users. 10% to 20% – The estimated improvement in accuracy in supply chain management from AI use. SSI 2020 CLASS TIMES. Source: Statista, Machine Learning Tops AI Dollars, May 10, 2019. For example, adding machine learning features to computers that can already process and analyze complex data sets is further improved to become. 14x – The rate of increase in the number of AI startups since the year 2000. There are 44,864 jobs in the U.S. today according to LinkedIn that list machine learning as a required skill, and 98,371 worldwide. Machine learning’s origins can be traced back to the notion of enabling computers to learn without having to program them to perform tasks. As its growing importance warrants further investigation, we have compiled the most relevant and recent machine learning statistics around. Artificial intelligence. 40% of the annual value created by analytics is made up of deep learning techniques. Machine learning’s growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Source: EnterpriseTechnology Trends, Salesforce Research (opt-in). Artificial intelligence / Machine Learning, combined with the increasing availability of healthcare data, offers the life sciences industry a wealth of insights and the promise of a competitive advantage with the ability to drive healthcare forward. I teach MBA courses in international business, global competitive strategies, international market research, and capstone courses in strategic planning and market research. This relatively new technology has yet to achieve its full potential. Yes please, but not in public! Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new research based … Get on top of the statistics used in machine learning in 7 Days. Machine learning has reshaped marketing by improving the accuracy of lead scoring, creating dynamic pricing models and speeding up customer churn prediction, among many others. Machine learning has been found to be better at lip-reading than humans. Adoption has been happening at break-neck speed as companies attempt to leverage the technology to get ahead of the competition. To help you find out more about the use of machine learning in marketing, we have gathered the most recent statistics on the topic. Enterprise Technology Trends, Salesforce Research, 2020 state of enterprise machine learning, Azure Cortana Interactive Pricing Analytics Pre-Configured Solution, Statistica, AI Startup Funding Reaches Record High, July 31, 2019, Statistica, Companies with the most machine learning & AI patents worldwide 2010-2019. 80% of companies plan to adopt AI for customer service by 2020. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results. By Ashutosh Dekhne, Greg Hastings, John Murnane, and Florian Neuhaus, Source: Webroot, Knowledge Gaps: AI and Machine Learning in Cybersecurity Perspectives from the U.S. and Japanese IT Professionals (PDF, 9 pp., no opt-in), Fannie Mae’s Mortgage Lender Sentiment Survey® How Will Artificial Intelligence Shape Mortgage Lending? My background includes marketing, product management, sales and industry analyst roles in the enterprise software and IT industries. These tools use ML to find, analyze and gain insights from data. We will not be accepting auditors this quarter, but course lectures will be posted on this page as they become available. 55 Notable Machine Learning Statistics: 2020 Market Share & Data Analysis Many view machine learning as synonymous with artificial intelligence. This information will deepen your idea of what the technology does, what it can do, and how it actually helps companies. 6% of consumers use voice assistants in public. One of the best reports published last year is from Stanford University’s Institute for Human-Centered Artificial Intelligence, the Artificial Intelligence Index Report 2019, (PDF, 291 PP., no opt-in). Among these are business intelligence solutions. 74% of companies say ML will transform jobs and industries. 95% – The accuracy of machine learning in predicting a patients’ death. All you have to do is take a look at current business intelligence statistics, and you’ll get a pretty clear picture of this development. ( Machine Learning and Statistics, Autumn 2020, 120 credits, 100 % ) As a data scientist, you will learn to extract valuable insight from one of the most important resources today - data. Significant information regarding the factors affecting the various market segmentations, regional analysis, and competitive framework of this business vertical is evaluated and provided. Source: MMC Ventures, The State of AI Divergence, 2019 (PDF, 151 pp., no opt-in). 2018 Outlook: Machine Learning and Artificial Intelligence, Tesla Tests Self-Driving Functions with Secret Updates to Its Customers’ Cars, Survey Finds Machine Learning and Artificial Intelligence are Top Business Priorities, Adoption of specific artificial intelligence (AI) use cases in 2017, by category. As artificial intelligence and machine learning have continued to grow in importance, it is only natural that there has also been growth in the market. No spam. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Stay on topic. January, 2019, Automation in logistics: Big opportunity, bigger uncertainty, Webroot, Knowledge Gaps: AI and Machine Learning in Cybersecurity Perspectives from the U.S. and Japanese IT Professionals. 89% – The level of accuracy of Google’s Deep Learning program in detecting breast cancer. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses. Source: PwC, Opportunities for the global semiconductor market; Growing market share by embracing AI (PDF, 18 pp., no opt-in). He has written extensively on these two subjects, being a firm believer in SaaS to PaaS migration and how this inevitable transition would impact economies of scale. © 2020 Forbes Media LLC. Senior management teams at enterprises who are Gartner clients initiated over 18,000 search queries last year on machine learning, with the majority from banking and financial institution clients, followed by government, services and manufacturing. Source: McKinsey & Company, Automation in logistics: Big opportunity, bigger uncertainty, April 2019. Stats of Machine Learning usage in Websites The following are some statistics about incorporation of ML in websites , and its use in software generally, in the decade of 2020. Although statistics is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field Source: McKinsey, Artificial-intelligence hardware: New opportunities for semiconductor companies. 49% of companies are exploring or planning to use ML. Trading and investing idea generation (alpha generation). Many enterprises turn to ML to outdo the competition, with a majority of them claiming to have adopted the technology as early as now. ARTIFICIAL INTELLIGENCE THE NEXT DIGITAL FRONTIER? 20% of consumers say they have never used a voice assistant. 1/3 of IT leaders are planning to use ML for business analytics. Read the statistics below and find out more about the current state of machine learning and businesses. $935 million – The estimated value of the US deep learning software market in 2025. 58% of businesses using machine learning say they ran models in production. Machine learning has indeed reshaped the way businesses run their affairs–for starters that is. IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [+] $37.5B that will be spent in 2019. $18 billion – The estimated value of the AI assistant market in the next five years. All you have to do is take a look at current. IDC Worldwide Artificial Intelligence Software Platforms Market Shares, 2018: Steady Growth — Moving Toward Production, courtesy of IBM. Use the latest machine learning methods to turn large amounts of information into big-picture knowledge. Machine learning has found applications in a variety of business environments. Machine learning, NLP and deep learning are the three most in-demand skills on Monster.com. Statista, Machine Learning Tops AI Dollars, May 10, 2019. Many people in the business intelligence world throw around the terms artificial intelligence and machine learning every day. $80 million – The estimated size of the US deep learning software market by 2025. Companies have read the writing on the wall, leading to the increasing adoption of the technology. Capsule networks are seen to replace neural networks. Below are statistics on ML adoption. 3/4 of all elderly care services in Japan will be delivered by AI robots in 2025. Please note, that FinancesOnline lists all vendors, we’re not limited only to the ones that pay us, and all software providers have an equal opportunity to get featured in our rankings and comparisons, win awards, gather user reviews, all in our effort to give you reliable advice that will enable you to make well-informed purchase decisions. 1 million worth of driving data is collected by Tesla every hour. Machine Learning Artificial intelligence Market Research Report provides analysis of main manufactures and geographic regions. Machine Learning for Absolute Beginners: A Plain English Introduction. Machine Learning — Coursera. Among these are business intelligence solutions. Check out these 20 stats and facts about AI and ML to find out. Source: IDC Worldwide Artificial Intelligence Software Platforms Market Shares, 2018: Steady Growth — Moving Toward Production, courtesy of IBM. THE DATA SCIENCE COURSE 2020: COMPLETE DATA SCIENCE BOOTCAMP Free Torrent Download Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning Many view machine learning as synonymous with artificial intelligence. January, 2019. This course provides a systematic view of a range of contemporary machine learning algorithms, as well as an introduction to the theoretical aspects of the subject. These metrics are run through machine learning models built on Amazon SageMaker to output predictions, stats and more. Author: Oliver Theobald. This statistic shows challenges companies face when deploying and using machine learning in 2018 and 2020. Comments: Accepted at the workshop for Machine Learning and the Physical Sciences, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020 All Rights Reserved, This is a BETA experience. Here comes the most interesting part. 51% of consumers use voice assistants in the car. AI-based processors, integrated memory and networking systems are … To see what the most recent virtual conference was like, you can keep scrolling. 9am and 1pm: Introduction to SQL and Relational Database Design; 10am and 2pm: Introduction to Data Analysis and Grpahics Using R; 10 am and 2 pm: Introduction to Bayesian Statistics; 11am and 3pm: Scalable Machine Learning: Methods and Tools Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. 51% of organizations claim to be early adopters of ML. 49% of consumers are willing to purchase more frequently when AI is present. Author: Wes McKinney (2017) Python for Data Analysis, 2nd Edition. This is not to mention the benefits that tools for business intelligence offer marketers. Copyright © 2020 FinancesOnline. Voice assistants have risen in popularity among consumers, following the explosion of mobile technology. Python for Data Analysis. Source: Statistica, Companies with the most machine learning & AI patents worldwide 2010-2019. $13 trillion – The potential global economic that AI could deliver by 2030. ... understand projections, utilize geoprocessing techniques, and gain basic spatial statistics comprehension. Machine Learning Artificial intelligence Market report includes definitions, classifications, applications, and industry chain structure, development trends, competitive landscape analysis, and key regions distributors analysis. 2020 Cybersecurity Threats Trends Outlook; Booz, Allen, Hamilton, 2019. Key takeaways from the series of machine learning market forecasts and market estimates from the last year include the following: Source: Market Research Future, Machine Learning Market Forecast Report – Global Forecast to 2024. Machine learning is widely used across the sciences, engineering and society, to construct methods for identifying interesting patterns and predicting accurately from large datasets.This course introduces several widely used machine learning frameworks and describes their underpinning statistical principle… 55% to 85% – The increase in the accuracy of Google Translate’s algorithm after using machine learning. EY & Citi On The Importance Of Resilience And Innovation, Impact 50: Investors Seeking Profit — And Pushing For Change, Michigan Economic Development Corporation BrandVoice, growing at a CAGR of 44.06% between 2017 and 2024, the global Machine Learning (ML) market will worth $30.6B in four years, AI software revenue will grow from $10.1B in 2018 to $126.0B by 2025, There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise, 12,172 open positions worldwide as of today, 44,864 jobs in the U.S. today according to LinkedIn, Stanford University’s Institute for Human-Centered Artificial Intelligence, Artificial Intelligence Index Report 2019, Market Research Future, Machine Learning Market Forecast Report – Global Forecast to 2024, MMC Ventures, The State of AI Divergence, 2019. All B2B Directory Rights Reserved. 16% of IT leaders want to use ML in sales and marketing. PwC, Opportunities for the global semiconductor market; Growing market share by embracing AI, McKinsey, Artificial-intelligence hardware: New opportunities for semiconductor companies. 10 Ways Machine Learning Is Revolutionizing Sales, How China Is Dominating Artificial Intelligence. As marketing has become more labor- and resource-intensive process, marketers’ use of ML does not come as a surprise. Terms offered: Spring 2021, Fall 2020, Spring 2020 An introduction to computationally intensive applied statistics. With reviews and analyses spanning a breadth of topics from software to learning models, James is one of FinancesOnline’s most creative resources on and off the office. You can reach me on Twitter at @LouisColumbus. You … Take a look at the following voice assistant statistics that prove this development. Opinions expressed by Forbes Contributors are their own. Projected to grow at a Compound Annual Growth Rate (CAGR) of 42.8% from 2018 to 2024. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. The most prominent segment of this market is the deep learning software category, which is expected to reach almost $1 billion by the year 2025. Risks and Rewards, Scenarios around the economic impact of machine learning, Applying artificial intelligence for social good, Notes from the AI Frontier: Tackling Europe’s Gap In Digital and AI, Notes from the AI frontier: Applications and value of deep learning, Visualizing the uses and potential impact of AI and other analytics, Artificial Intelligence in Business Gets Real: Pioneering Companies Aim for AI at Scale, Artificial Intelligence: 10 Predictions for 2019, AI technology Assessment, Emerging Opportunities, Challenges, and Implications, How to Prevent Discriminatory Outcomes in Machine Learning. Take a look at the following stats and see how machine learning has improved since its inception. My academic background includes an MBA from Pepperdine University and completion of the Strategic Marketing Management and Digital Marketing Programs at the Stanford University Graduate School of Business. How Much Money Has Poured Into AI And Customer Experience? The technology is currently being employed in marketing with more potential uses in the pipeline.

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