In the last blog-post, we looked at some valuable applications of AI: cyber-security, machine-vision, and navigation (spec. AVs). Now let’s look at a few more applications that are powered by AI technology, starting with language comprehension and voice recognition: a new frontier that will create incredible new possibilities.

Narrative Science creates natural language-generation technology to translate data from multiple silos into what it calls stories. AI highlights only the most relevant and interesting information, to turn data into easy-to-understand reports, transforms statistics into stories, and converts numbers into knowledge.

Tetra uses AI to take notes on phone calls, so people working in call centers can focus on discussions with the callers. It uses AI to generate a detailed script of dialogues using its speech recognition technology. Given the large market for call centers – and the need to make them more effective at low cost – this is a big market for AI.

Rulai goes beyond the conversational aptitude of a chat-bot, which is limited to a few stock phrases delivered in a monotone. Rulai is working to change this using the flexibility and adaptability of AI. The company claims its level 3 AI dialog manager can create “multi-round” conversation, without requiring code from customers.

SoundHound uses machine-learning for voice recognition technology. SoundHound started as a Shazam-like song recognition app called Midomi, but it has expanded to answering complex voice prompts like Siri and Cortana. But instead of converting language into text like most virtual assistants, the app’s AI combines voice recognition and language understanding into a single step.

Persado is a marketing language cloud that uses AI-generated language to craft advertising for targeted audiences. With functionality across all channels, Persado helps businesses increase acquisitions, boost retention and build better relationships with their customers.

Based on Montreal, Element AI provides a platform that uses predictive modeling, conversational AI, and natural language processing. It also makes use of image-recognition technology, enabling it to automatically tag certain attributes based on a visual analysis.

Another fascinating field that is being given a jolt by AI is geo-location (especially as it relates to drone technology). Orbital Insight uses satellite geo-spatial imagery and AI to gain insights not visible to the human eye. It uses data from satellites, drones, balloons, and other aircraft to look for answers or insight on things related to the agriculture and energy industries that normally wouldn’t be visible. The company uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Meanwhile, Nvidia created the CUDA code for use in “smart” GPU technology–used for everything from robots and self-driving vehicles to intelligent video analytics and smart factories.

Based on China, DJI is a major player in the rapidly growing drone market. It is leveraging AI and image recognition to track and monitor the landscape. It’s expected that the company will play a role in the self-driving car market. DJI has even partnered with Microsoft for a drone initiative.

Pointr is an indoor positioning and navigation company with analytics and messaging features to help people navigate busy locations, like train stations and airport terminals. Its modules include indoor navigation, contextual notifications, location-based analytics and location tracking. Its Bluetooth beacons use customer phones to help orient them around the building.

Let’s look at some fascinating e-commerce applications. With a focus on enterprise AI, offers a wide array of pre-built applications, along with a PaaS solution, to enable the development of enterprise-level AI, IoT applications, and analytics software. These AI-based applications serve a wide array of sectors, from supply chains to healthcare to anti-fraud efforts. The goal is to speed and optimize the process of digital transformation.

BigPanda leverages AI to lessen or stop IT outages prior to when they take down a full business, an e-commerce operation or a mission-critical application. Such technology can also use AI to improve admin and IT operations–as a “smart” system can automate functions, doing them faster and more accurately, saving both time and money.

Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise. It specializes in using AI to connect and integrate diverse data at scale, quickly and cost effectively. Tamr’s prominent clients include Reuters, Toyota and GSK–all of which have learned that savvy data prep is essential to a stream-lined business. Tamr combines machine-learning and human tech staff to help customers optimize and integrate massive data-sets into its operations. Tamr’s technology enables cloud-native, on-premise, or hybrid scenarios.

Xant is a sales acceleration platform that is a predictive and prescriptive self-learning engine by helping assist in a sale and providing guidance to the salesperson to help close the deal. Meanwhile, Icertis provides an intelligent enterprise contract-management platform. At the center of all these technologies is machine-learning.

In the next blog-post, we’ll explore how automated personal assistants stand to benefit from improved AI technology.