10 Tasks Machine Intelligence Will Eliminate For Enterprise Firms in 2017
An infographic highlighting the companies that can help your business save costs and time, enabling your workforce to focus on higher priorities.
Spam filters in email, ride sharing companies and music curation services have all substantially improved your personal life thanks to artificial intelligence, and enterprise companies stand to gain significant benefits from AI-based capabilities in 2017. Artificial Intelligence has entered every industry, revolutionizing the way we live and work by replacing mundane tasks, providing deeper insights into data, and unlocking new use cases with technology that has never before been possible. In my weekly applied-AI newsletter, I’ve showcased companies like Daisy Intelligence that use machine learning to improve back office inventory systems. Now, people who spent hours managing a warehouse can rely on computers to do the heavy lifting, letting employees focus on more complex problems. In general, people now have the freedom to focus on higher-order tasks, or ones that require a human touch.
Here is an infographic showcasing the 10 tasks enterprise companies, even startups, can phase out thanks to AI solutions readily available or AI technologies that can be leveraged to supplant these tasks.
The 10 Tasks Eliminated by Machine Intelligence (and solutions you can get started with today)
Providing front-line customer support | Intercom
Over half of the queries to a support function can be solved with one knowledge base article, and it doesn’t take a human to do a intranet search. Thanks to advanced speech-to-text and translation algorithms used by companies like Intercom, businesses can leverage AI-based online agents to answer these queries by serving up the right article to a user’s concern with their service. If the user needs further support, an AI-based agent can smartly route them to the right person without requiring any time on hold.
Assessing consumer demand | Amazon (Check out their Go Concept Store!)
Amazon recently unveiled their new Go concept store, which leverages deep learning algorithms to automatically update a person’s cart of groceries the moment they pick up or replace items from the grocery store shelf. Undoubtedly, Amazon leverages this inventory data to accurately determine what items are popular, determining demand to a far greater accuracy than check out scans alone. Generally, AI can not only accurately track inventory, but it can correlate multiple data streams to assess desire for a product or service as well.
Drafting Formulaic Writings or Reports from Data | Narrative Science
Writings based on repeatable patterns can be easily generated by a machine intelligent author, providing an initial basis for a content strategist to add his/her personality to the copy. Companies pressed to provide reports around data analysis can leverage tools like Narrative Science to automatically generate the language to explain data. Its Quill™ platform, an intelligent system, analyzes data from disparate sources, understands what is interesting and important, then automatically generates perfectly written narratives to convey the right meaning from the data for any intended audience, at machine scale. It excels where data visualizations fall short: it identifies and conveys relevant information in conversational language that people can immediately comprehend, trust and act on.
Ensuring Data Compliancy | Splunk
Companies conducting business within industries with sensitivities on data storage, retention and use must ensure they meet compliancy measures within the region they operate. Machine learning solutions from companies like Splunk can scan documents (or even code) to ensure they meet the latest in compliance measures, perhaps even suggesting alterations to the end product for a compliance agent to approve.
Detecting and Resolving IT Incidents | Grok
Predictive analytics solutions enable companies to forecast situations in an environment in order to proactively take action. Companies can monitor application data with machine learning to detect IT incidents before they occur, saving time and money within their cloud operations.
Optimizing Company Spending | Pleo
Enterprise companies cannot rely on HR functions to monitor and manage each individual’s spend against their company card. Instead, they can leverage machine intelligence with companies like Pleo to flag fraudulent behavior to ensure employees are making the best use of company funds. AI algorithms may also uncover new categories of items that a business can flag as needing further review and support from management.
Monitoring Brand Sentiment | iSentium
Marketers must constantly be aware of brand perceptions, as a negative one can take a long time to bounce back from. Consumers, emboldened by social media, post 140 character summaries of experiences that can damage a company, but can easily be missed at first. Companies can leverage AI solutions like iSentium to scan the sentiment of tweets in real time, gaining insights into the root cause of a potentially greater issue with speed.
Finding Perfectly Matched Employees | Connectifier
Companies stress culture fit as the most important measure of an employee’s ability to perform, but has been previously difficult to quantitatively measure. AI can understand the trade-offs among the raw skills of a prospective talent, their ability to work with other employees, and their potential for growth. Initial analysis conducted by tools such as Connectifier around potential candidate strengths and weaknesses can be used to speed up the hiring process, growing a workforce in a fast, yet considered manner.
Uncovering New Business Opportunities | Bolstra
A cold lead may only be the result of providing the wrong message and losing the opportunity. Predictive analytics based solutions like Bolstra can surface manage customer success by surfacing up new leads after new product revisions or when a timely event occurs within a business, reviving a potential deal. Some solutions today offer a lead score to determine a user’s buying potential, offering suggestions to sales reps to get them closer to getting new business.
Customize Corporate Training Programs | Zoomi
Providing a cookie-cutter training experience glosses over the differences in learning styles each new employee (or contractor) has when absorbing the large amounts of info they need to be successful in representing your product. While human trainers can provide hands-on experiences, it is difficult to scale a few trainers to the tens or hundreds of employees that a company hires each year. Instead, AI-based training solutions like Zoomi can create personalized programs that ensure knowledge acquisition and retention at a higher rate of accuracy, ensuring continued success within an organization.
Is your business using AI to improve internal processes or provide great customer experiences? Have you already started on eliminating these tasks above? Share your story in the comments!