Artificial Intelligence (AI) is getting a lot of attention these days. We too are intrigued by the possibilities (our founder uses an AI assistant) and we feel it’s important to level set the definition of AI and explore how it can be used for good – from testing, researching and beating cancer to solving poverty. We’ll dig in at Harvest Summit on AI for good and it’s impact on the future of work in juxtaposition to the fears and dangers.
Just this week Elon Musk and more than 100 leaders and experts in AI came together urging the UN to commit to an outright ban on lethal autonomous weapon systems. Google Deepmind’s Mustafa Suleyma also signed the open letter urging the UN to prevent “the third revolution in warfare.”
In other news this week, a music album called I AM AI, is the first album entirely composed and produced by an artificial intelligence. It works in collaboration with a human artist, who provides inputs that Amper (the AI artist) uses as composing parameters. More here.
Notable this year in June, Harvest Summit speaker Marcus Shingles of XPrize launched the AI for Good Global Summit in Geneva.
“With the acceleration and democratization of AI, we recognize the tremendous opportunity for an emerging generation of problem solvers to tackle global challenges.”
— Marcus Shingles, CEO of XPRIZE
Before hearing from he and others at Harvest Summit, we tapped speaker Marlene Jia, COO of TOPBOTS, to help frame your thinking on AI and it’s business enterprise uses.
TOPBOTS is a strategy and research firm for enterprise AI and bots and boasts one of the most read AI newsletters on the Internet. Jia’s expertise in enterprise software and best practices helps corporations successfully evaluate, develop, and integrate emerging technologies. Marlene works with brand clients such as L’Oreal and PayPal to utilize AI and bot technology.
Click below for her industry throw down on AI and the players in each business function:
Want to learn more about AI? Join us for the AI session and so much more this October at Harvest Summit, request an invitation here. Can’t wait? Sign up for TopBots newsletter, or follow them on Facebook, Twitter or Instagram.
BUSINESS INTELLIGENCE (BI)
This function derives intelligence from company data, encompasses the business applications, tools, and workflows that bring together information from all parts of the company to enable smart analysis. From streamlining data preparation like Paxata and Trifacta, to connecting data more effectively from different silos like Tamr and Alation, and even automating reports and generating narratives like Narrative Science and Yseop, enterprise companies are improving BI workflows with artificial intelligence. Some others to check out include:
Productivity at work is often stunted by a myriad of tiny tasks that consume your attention, i.e. “death by a thousand cuts.” Many productivity tools have emerged to eliminate such tasks, such as the endless back and forth required to schedule meetings. Luckily, many of these productivity tools are virtual scheduling assistants like X.ai, FreeBusy, and Clara Labs, some others are:
Taking care of your customers is no easy task. Enterprise companies have recognized this critical area as ripe for disruption with artificial intelligence. DigitalGenius utilizes AI to sift through your customer service data and automate customer service operations. Inbenta’s AI-powered natural language search enables delivery of self-service support in forums and virtual agents. Luminoso creates visual representations of customer feedback, allowing companies to better understand what consumers want. Check out the rest:
- Eloquent Labs
HR & TALENT
With the average tenure of a hire getting shorter, hiring and talent management is arguably one of the most difficult areas for every company to tackle. Where can you find the right candidates and how do you keep hires engaged? Companies like Entelo and Scout work from the top of the funnel to get you the most qualified candidates while others like hiQ Labs utilize public data to warn you of staff attrition risks and enable you to create retention strategies.
B2B SALES & MARKETING
No one likes to waste time tediously doing data entry or spend hours sometimes googling and sifting through LinkedIn trying to get that marginal bit of information on a lead. Perhaps that’s why professionals in these functions are willing to embrace and experiment with new tools. Some automate data entry and improve forecasting accuracy like Fusemachines and the AI-powered sales assistant Tact, while others like Lattice Engines and Mintigo utilize thousands of data sources to surface the most qualified prospects and opportunities. You also have Salesforce’s Einstein who has the intention of bringing AI and automation throughout the entire sales ecosystem.
So much data and intelligence can be gathered about your consumers through social channels, distribution channels, media channels, etc. Smart tools can not only crawl through this data, but analyze and understand what’s being said or done. Lexalytics is a text analytics platform that translates billions of unstructured data pieces and online signals into actionable insights for the company. Affinio uses deep learning to surface social fingerprints for the brand by creating interest-based clusters. Brands now have a better understanding of their customer segments, behaviors, and sentiments.
FINANCE & OPERATIONS
Finance & operations includes the back office, forecasting, accounting, and operational roles required to run a company. Since nobody likes paperwork, this area is ripe for automation. HyperScience recently came out of stealth with their $18 million Series A in December of 2016 to completely automate back office operations like form processing and data extraction through AI. Another company called AppZen is an automated audit platform that can instantly detect fraud and compliance issues, freeing up T&E teams from tedious manual audits and checks.
More consumers are transacting online, making conversions a critical area of focus for retail and e-commerce companies. Sentient Technologies analyzes user actions against the product catalog and is able to recommend products more effectively while also creating a personalized shopper experience while the shopper explores. Utilizing NLP and machine learning techniques, BloomReach is able to adapt site content to capture traffic and provide personalized search and categories to make it more relevant to the user.
Companies need the right format, volume, and understanding of data before they can effectively deploy artificial intelligence solutions, making data science and management critical to any ambitious enterprise. With the rise of data science professionals came new tools and platforms. Yhat, DataRobot, and Domina Data Lab are all data science platforms that assists data scientists in building and deploying models quickly and more efficiently.
Even software engineering can be accelerated and automated by AI. Diffbot uses a combination of AI techniques like computer vision, NLP, and machine learning to enable developers to extract and understand objects from any web page. Bonsai removes layers of complexity to make programming AI models more accessible. Rainforest utilizes intelligent crowdtesting to QA in order to keep up with fast-moving development teams.
SECURITY & RISK
As more users transact online, security & risk becomes a bigger challenge for enterprises. Security and risk companies usually fall into two categories: 1) companies that focus on detection and risk mitigation of potential fraud and cybercrime and 2) companies that automate and scale security operations. In the first categories are companies like Sift Science and Darktrace which are AI-driven platforms that monitor and track thousands of anomalies to detect fraud and cybercrime. Demisto falls into the second category, working as an incident response platform, reducing time spent responding and following the proper SLA guidelines while also automating inquiries into the incident.
- Deep Instinct
- OPĀQ Networks
- Vectra Networks
INDUSTRIALS & MANUFACTURING
Industrials are related to the manufacturing, supply chain, and distribution of goods. This sector is generally not vertically integrated and therefore usually suffers from decentralized data. DeepVu leverages deep reinforcement learning to assess supply chain risk and accurately forecast future demand. Arimo analyzes historical data in order to provide equipment downtime monitoring, manage energy being used efficiently, detect anomalies in production, and more.