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123 AI Use Cases & Applications in 2018: In-Depth Guide

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We are tracking the most impactful AI use cases here. This is meant to be a list that grows over time so feel free to contribute with your comments, this list is definitely not comprehensive now. And share the knowledge with your twitter followers: @AndrewYNg claims that "AI is the new electricity". We compiled 100 applications runnning on this new electricity. Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel while constantly learning. Optimizing product, pricing & placement allows marketers to create an attractive value proposition to customers. Gesture Control: Gesture control enables higher levels of activity and engagement by allowing users another mode of interaction with your digital products. Quantify the gesture levels and other engagements in order to provide meaningful insights. Pricing Optimization: Also called dynamic pricing or demand pricing, pricing optimization allows companies to optimize markdowns. Optimal markdowns minimize cannibalization while maximizing revenues. One of the easiest transformations a business can achieve, dynamic prices directly impact the bottom line and can be rolled out in a matter of days. Optimize markdowns to minimize cannibalization while maximizing revenues. Identify which products are of significant importance for customers.


157 Artificial Intelligence Platforms to Help You Grow Your Business 60 Second Marketer @AskJamieTurner

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The odds are pretty good that you're using Artificial Intelligence (AI) and Machine Learning (ML) more often than you realize. After all, every time you do a Google search (like the one that probably brought you here), you're using software that has Artificial Intelligence ingrained in its DNA.


Essential Enterprise AI Companies Landscape

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Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and surpass $3.8 trillion. Enterprise AI companies are at the heart of this growth. This article will explain not only what enterprise AI companies are but also what they produce. We'll also look at how enterprise AI companies are impacting in various fields such as finance, logistics, and healthcare. Enterprise AI companies produce enterprise software. This is also known as enterprise application software or EAS for short. Generally, EAS is a large-scale software developed with the aim of supporting or solving organization-wide problems. Software developed by enterprise AI companies can perform a number of different roles. Its function varies depending on the task and sector it is designed for. In other words, EAS is software that "takes care of a majority of tasks and problems inherent to the enterprise, then it can be defined as enterprise software". Lots of enterprise AI companies use a combination of machine learning, deep learning, and data science solutions. This combination enables complex tasks such as data preparation or predictive analytics to be carried out quickly and reliably. Some enterprise AI companies are established names, backed by decades of experience. Other enterprises AI companies are relative newcomers, adopting a fresh approach to AI and problem-solving. This article and infographic will seek to highlight a combination of both. And focus on the real competitors for mergers and acquisitions as well as product development. To help you identify the best AI enterprise software for your business, we've segmented the landscape of enterprise AI solutions into categories. A lot of these enterprise companies can be classified in multiple categories, however, we have focused on their primary differentiation features. You're welcome to re-use the infographic below as long as the content remains unmodified and in full. The automotive industry is at the cutting edge of using artificial intelligence to support, imitate, and augment human action. Self-driving car companies and semi-autonomous vehicles of the future will rely heavily on AI systems from leveraging advanced reaction times, mapping, and machine-based systems.


Top 50 Use Cases of Artificial Intelligence in Diverse Sectors

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The digital sphere is raining technologies. The influence of artificial intelligence is taking center stage with every possible improvement. Technology is changing almost all industries including banking and finance, healthcare, automobile, telecommunication, manufacturing, defense and military, entertainment and media, education, etc. The sub-domains of Artificial Intelligence such as machine learning, natural language processing, data analytics, and image analytics are also rolling out profitable use cases in diverse sectors. Besides, artificial intelligence is serving the business purpose by leveraging end-to-end automation processes. Therefore, Analytics Insight has listed the top 50 business use cases of artificial intelligence in diverse sectors. Predictive analytics is a gift to healthcare. Sometimes, we come across patients who say they underwent an unnecessary surgery due to a lack of predictions on what was coming. Fortunately, artificial intelligence is changing the fate of such burdensome risks and avoidable surgeries.


172 Business/Customer Intelligence & Data Science Tools

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Actian Corporation Actian offers on-premises and cloud data management solutions for seamless performance, insights and outcomes. Learn how to activate your data today! Uncover powerful insights and improve marketing & sales performance AdWyze Automate data collection, normalisation and reporting from all your advertising and analytics channels. Algomus Enterprise AI and Workflow Automation platform delivered by a Virtual Business Analyst bot named Algo. Allsight The AllSight Customer Intelligence Platforms Software enables you to obtain the intelligent Customer 360. Alpine Data Accelerate ROI from your data science initiatives with a collaborative analytic workflow builder that lets you transform data into insight within Hadoop and other big data environments. Alteryx Alteryx is a leader in data science and self-service analytics with a platform that can prep, blend, enrich, and analyze data, manage and deploy predictive models, and share analytics at scale. Gain deeper insights in hours, not the weeks that you may be used to. Altreva Altreva Adaptive Modeler is a software application for forecasting stocks, ETFs, forex currency pairs, cryptocurrencies, commodities and other markets. It creates market simulation models that coevolve in parallel with real markets to give one-step-ahead forecasts and trading signals, without overfitting to historical data. Analance Analance is a revolutionary platform that consolidates data management, analytics and business intelligence into a single platform. It is an end-to-end tool that clean, transform, model and visualize enterprise data. Make sense of your data the right way. Get a demo of Analance or take it for a 30-day test drive. Anaplan Anaplans connected planning platform enables organizations to accelerate decision making by connecting data, people, and plans across the business. Angoss Software Corporation Angoss' predictive analytics and data mining software solutions help companies grow revenue, increase sales productivity, improve marketing effectiveness, deepen customer loyalty, and reduce risk, using data profiling and visualization, decision tree analysis, predictive modeling, scoring and strategy building. Annalect Annalect - Data driven marketing solutions are often complex, but working with a partner to deploy them should be simple.