HyperScience: Eliminating Manual Data Entry with Machine Learning
Is your job safe as automation advances? HyperScience CEO Peter Brodsky shares his views on how machine learning and automation will affect data entry in the future. With software now able to eliminate the need for time-consuming, manual data entry, will these jobs become obsolete? Brodsky also speaks on how AI will impact future software development, how jobs will be affected by automation, and entrepreneurial tips for anyone considering starting a startup. ##HyperScience is eliminating manual data entry HyperScience uses machine learning and automation to read and enter data, allowing for faster input and removing costly, manual processes. More insurance, major world governments, and Global 3000 companies have begun using this tool to eliminate the need for manual data entry. ##The Future of software development The way software is written will fundamentally be changed by artificial intelligence and machine learning. Within the next five years, there may be software that still doesn’t use AI, we ask how development will be affected. ##Jobs an automation There’s a belief that automation will destroy jobs, but Brodsky disagrees. He says the right to a job doesn’t supersede thousands of people’s rights to good service, but never in history have we been able to make jobs go away. We discuss how automation will remove the need for manual data entry, but should not affect people’s ability to find jobs. Listeners who are interested in HyperScience, a company that removes the need for manual data entry by automating handwritten data, can follow their blog for announcements and more information. Key takeaways: The way future software will be written will mostly be impacted by machine learning and AI. You don’t need to understand the “how” in machine learning, just the result you want to achieve. Although automation will remove the need for manual data entry, it doesn’t mean job demand will decrease.
1 Oct 2019
Gong: Revenue Intelligence with AI
What is revenue intelligence and how does it solve real business problems? Today we have a special episode as Wing Venture Capital founding partner Peter Wagner and your host Zach sit down for a candid conversation with Amit Bendov, the CEO and co-founder of Gong. Listen to learn how Gong uses artificial intelligence to unlock revenue data and provide valuable insights for sales reps and managers to improve sales. ##What is Gong? Gong unlocks a unique data set by monitoring and ingesting call and email data and providing reps and managers with increased deal visibility from contact to close and valuable insights to improve sales. Gong has over 500 customers using the product today. Their customers range from small companies like start ups with small teams trying to figure out their initial product market fit to customers like GE and LinkedIn who have thousands of sales reps. ##Gong provides insights One of the powers of Gong is that it gets rid of opinions, leaving you just with what the data shows. There are multiple levels of insights customers can receive from Gong. At the most basic level, it tracks activity volume, such as how many calls and emails a rep has each day. The second is interaction skills such as patience, asking questions, and allowing the customer to talk. Finally, for larger companies, over time Gong monitors conversations and outcomes in the CRM, and given enough data it will start providing insights on the winning patterns. ##Three pillars of Gong “I started Gong because I realized how little information we were getting from our CRM system,” says Amit Bendov, CEO and co-founder of Gong. CRMs tell us who our customers are, how many deals we’re winning, and what our contract value is with each customer, but there are some fundamental questions that don’t get answered. Gong wants to answer three of these questions: Why are some sales reps successful when others are not? Why are we losing some deals and winning other deals? What’s really happening in the market? The three pillars of Gong, or the three applications are: people success, deal success, and strategy success. People success is about improving how we operate. Deal success is about improving the win rate by understanding how opportunities behave in the market. And strategy success is about high-level product insights for senior management. Key takeaways: Gong is unlocking a unique data set and empowering sales reps and managers by providing them with more visibility into the deal process and making recommendations for improving their conversations; Gong has invested heavily in its artificial intelligence, including its natural language processing and machine learning algorithms, but the company’s success can be attributed to Gong’s laser focus on solving a real business problem; AI is helping Gong both improve its go to market strategy and providing unique insights and recommendations to its customers to help them win more deals.
30 Jul 2019
UiPath: Simplifying Manual Processes through Automation
It can be a pain to constantly maneuver throughout different systems in order to find needed information, but UiPath is eliminating this laborious and manual issue with robotic process automation (RPA). Param Kahlon, Chief Product Officer of UiPath, has helped many companies transform their processes quickly without having to rip and replace multiple applications they already have. With the help of RPA, robots work on behalf of humans so businesses and employees can focus on providing better customer experiences and lowering the amount of time committed to finding certain information. Inspired by efficiency, UiPath has become the biggest growth category in the enterprise office space. ##UiPath’s technology can be applied to any industry Generally, UiPath gets most of its traction from businesses in finance, customer service and human resources because of the high volume of repeatable processes that happen in their systems. However, UiPath’s tools can be used in any industry that needs automation applied to business processes. ##UiPath helps improve the customer experience UiPath’s robots can shorten the amount of time needed for an employee to find customer information. For example, a robot can help banks consolidate all of their customers’ files across different systems so bankers can be better prepared for meetings. Robots can confirm an appointment with the customer hours ahead of time and then go into the bank’s systems and extract all the information about the customer the banker would need. This delivers a better customer as well as employee satisfaction experience by lowering the time needed to find this information manually. ##UiPath’s robots have certain skills to process information UiPath’s robots can process applications and data on multiple platforms at once. Developed in four categories, the bots are able to collect and consolidate data by its ability to view, analyze, understand and predict information like a human using machine learning. Listeners interested in UiPath’s products are able to sign up for a free version on their website or contact by email at email@example.com. Key takeaways: Robotic process automation, commonly referred to as RPA, is helping digitize and automate manual processes inside the enterprise saving money and time UiPath is the market leader in RPA having grown to a $7B company in 14 years There is a massive global opportunity ahead of UiPath as almost all enterprises have multiple processes which could be automated
12 Nov 2019
Shape Security: Protecting Against Theft And Fraudulent Attacks
Retailers, banks and airlines can see up to 90% of fraudulent logins attempting to steal some form of value in their systems. How are they protecting themselves against attacks? Derek Smith, co-founder and CEO of Shape Security, has created a patent botwall service that protects many of the world’s largest banks, airlines, retailers and government agencies against cyberattacks, blocking more than a billion fraudulent login attempts daily. During his time working on cybersecurity policies at the Pentagon, Smith discovered that fraudulent login attacks were a massive problem and would eventually hit corporate America. Smith’s vision with Shape Security is to develop core technology that sits in front of web and mobile technologies to help distinguish if logins are from consumers or computers, preventing fraudulent attacks. ##Shape Security doesn’t just prevent fraud but removes friction out of the consumer experience Smith shares that he’s proud of the ability to increase their client’s revenue, not just decrease fraud. Shape takes the friction out of the consumer experience, making it easier for users to maneuver through web pages and even transactions without being disrupted by continuously re-entering passwords or other security measures. Smith’s goal is to see a day where there are no passwords and usernames needed because his system can guarantee that the person is who they say they are online. ##Attackers come from different parts of the world It’s found that attackers who are searching for points of value or currency are usually from Russia or Eastern Europe, whereas attacks seeking information are usually from China and attackers trying to cause disruption usually come from the Middle East. ##Shape Security invests relentlessly on what attacks look like Shape applies machine learning and artificial intelligence to stop attackers. As the company's software analyzes examples of the most sophisticated attacks, it learns how to identify and block new attack techniques, preventing breaches and online fraud. Listeners interested in learning more about Shape Security and their progress may follow their blog for updates and new information. Key takeaways: Shape Security is helping more than 50% of the country’s largest airlines and banks as well as retail businesses like Starbucks by continuously - defending against fraudulent login attempts Shape prevents over a billion fraudulent login attempts every day Hackers continue to become more sophisticated, but Shape is using advanced machine learning techniques to counteract the ever-improving hacking methodologies
22 Oct 2019
Most Popular Podcasts
Textio: Augmented Writing
How many hours have you spent this week writing for your job? The average American worker spends upwards of 15 hours each week on email, and that’s just one kind of writing. Textio is an augmented writing platform that wants everyone to feel empowered with the words that say what they really mean. CEO and co-founder Kieran Snyder, joins us to discuss the vision for Textio and how it works. Listen to learn how Textio makes is easier for businesses to attract the right candidates through the best job descriptions that represent their culture and how it provides valuable insight into how the brand sounds already relative to competitors in the industry. ##The Importance of Words in Business No matter the industry, the thing we’re actually making the most of every day is words, and it’s an expensive problem for companies when those words are wrong, whether it’s in recruiting, selling a product, or writing to one another internally. Textio is an augmented writing platform that uses natural language processing to help companies attract better talent by unlocking the best language to engage potential candidates. There is a gap between how we sound and how we mean to sound, and Textio’s purpose is to help every single writer bridge that gap and give them the words they need to attract the people they want to hire using language that reflects the very best of their values and culture. ##Changing How People Collaborate AI-enabled software is about more than just enabling machines and people to work together. With Textio, it’s about enabling writers to collaborate with each other. When you’re writing on your own, you’re limited by your own ability to predict what’s going to work, but Textio helps writers connect with all of the other writers in the community through shared data with attached outcomes. Textio sees that the big opportunity is in helping people collaborate more effectively together and learn from one another’s experiences. ##How it Works It’s one thing to know that a document will perform poorly, but what’s really valuable is to know how to make it better. For Textio to work it needs to crack open those models in a way that is explainable to any person that is writing for the platform. You don’t need to be a linguist or data scientist to use Textio. Through the use of an intuitive 0-100 “Textio Score,” they make it accessible, approachable, and clear to writers what changes they need to make to get that score higher. When using the Textio flow, you just drop a few notes onto your writing canvas and Textio proactively shapes it with you into the language that works, taking just two or three words and elaborating it into a complete concept that’s exactly what you mean. Key takeaways: Textio is an augmented writing platform that makes it easy for the user to write best in class job descriptions; Textio has a differentiated go-to-market advantage, in that they can come to the first meeting showing you stats and insights on how your job descriptions compare to those of your competitors and what you need to do to attract better talent; Textio is solving a real business problem, and the team has done a nice job with the product in terms of making it easy for the user to increase their - Textio score, which equates to attracting more qualified candidates and reducing time to hire.
20 Aug 2019