Podcasts about Digital Reasoning

The internet is now, decidedly, unsafe for kids...including A.I. generated platforms. At Angel Kids AI, their mission is to use AI to flip the script; making the internet safe for kids.  I brought in Tim Estes, founder of Angel Kids AI, to educate parents about A.I., the harms, the potential and how to introduce our kids to A.I. tools safely and productively. Tim and I dig into online harms, reviewing popular AI products like Amazon's Alexa, ChatGPT and others. Parents will leave this conversation with a healthy understanding of how to introduce AI to our kids in a way that enhances their creativity and doesn't harm them.  In addition to joining the waitlist for Angel Kids AI, here are a few AI tools that Tim recommends trying out with your child: Merlyn Mind Khan Academy Synthesis About Tim: Tim Estes is a pioneering executive in the Artificial Intelligence and Natural Language Processing domain. He founded and led Digital Reasoning from 2000, an AI leader in the space of unstructured data analytics for 20+ years. Estes envisioned a means by which computers could learn to accurately interpret language, understand context, and extract critical intelligence. Digital Reasoning secured investments from In-Q-Tel (IQT), Goldman Sachs, Nasdaq, BNP Paribas, Barclays, Credit Suisse, HCA, and others totaling over $120M. Dubbed “Wall Street's Robocop” by Forbes, the technology in Digital Reasoning became the market standard for applying AI and Natural Language Processing to communications data across text and voice and was adopted by a majority of the Tier 1 Financial Institutions around the globe. It's technology also supported key Defense and Intelligence efforts in the US Government, enabled nationwide cancer screening systems to automate patient detection and prioritization, and created the largest deployed system to support law enforcement in the disruption of child sex trafficking rings in North America. It was merged with Smarsh in November, 2020 to create the market leader in Communications Intelligence for Financial Services. Estes left the acquiring company, Smarsh, at the end of 2021 and is now an active Angel Investor, Advisor, Board Member, and Mentor to CEOs in multiple industries. --- Support this podcast: https://podcasters.spotify.com/pod/show/scrolling2death/support

A growing body of research shows that social media is designed to be addictive and feed children age-inappropriate content. This is leading to higher rates of depression and loneliness. As a parent, this is heartbreaking news but not surprising. Concerned parents, legislators, and psychology experts are advocating for abstinence – specifically banning social media and smartphone use until kids reach high school age, and understandably so. But while their intentions are good, our guest, Tim Estes, an online child safety advocate, believes that taking away devices altogether isn't the answer either. He says it creates a "pink elephant paradox." He believes that the more we try to take social media and smartphones away from kids, the more they'll want them. It makes sense. So what are parents to do? Tim advocates for "kangaroo parenting." Who is Tim Estes? Tim Estes is a pioneering executive in the Artificial Intelligence and Natural Language Processing domain. He founded and led Digital Reasoning in 2000, an AI leader in the space of unstructured data analytics for 20+ years. Estes envisioned a means by which computers could learn to accurately interpret language, understand context, and extract critical intelligence. Dubbed "Wall Street's Robocop" by Forbes, the technology in Digital Reasoning became the market standard for applying AI and Natural Language Processing to communications data across text and voice and was adopted by a majority of Tier 1 Financial Institutions around the globe. Its technology also supported key Defense and Intelligence efforts in the U.S. Government. It enabled nationwide cancer screening systems to automate patient detection and prioritization and created the largest deployed system to support law enforcement in the disruption of child sex trafficking rings in North America. It was merged with Smarsh in November 2020 to create the market leader in Communications Intelligence for Financial Services. Tim left the acquiring company, Smarsh, at the end of 2021 and is now an active Angel Investor, Advisor, Board Member, and Mentor to CEOs in multiple industries. His newest startup, Angel AI, uses the latest advances in generative AI to change how kids use the internet to empower and protect them. The mission of Angel is to harness the power of AI to raise healthier and happier humans, starting with our kids. As a parent himself, Tim has dedicated his life to keeping kids safe online. He frequently advocates for change on Capitol Hill and recently briefed the House and Senate leadership on these issues. We are so impressed and so grateful for the work Tim does. This episode is a great listen for parents with kids using the internet. What Did We Discuss? In this episode, we chat with Tim about keeping our children safe online and Kangaroo parenting in this digital age. Here are several of the questions that we covered in our conversation: How do you recommend parents manage devices, social media, and other digital platforms for their kids in this digital world? I know you are an advocate for "kangaroo parenting." Can you tell us more about this parenting style? How can parents instill healthy online habits and boundaries? What is it that parents need to know that you know about the internet and keeping our kids safe online? What is your number one piece of advice for parenting a child in our digital world? Tim's Resources Website: angelkids.ai LinkedIn: Tim Estes Thorn: Tim worked closely with Thorn, an organization co-founded by Ashton Kutcher and Demi Moore that combats child sex trafficking. Thank you for listening to this episode! Follow us on our podcast Instagram page @thebabychickchat, and let us know what you think and if there are any other topics you'd like us to cover. Cheers to keeping our kids safe online and allowing them to grow and explore with our guidance! Learn more about your ad choices. Visit megaphone.fm/adchoices

Meet Hal Andrews:Hal Andrews is the Founder, President, and CEO of Trilliant Health, a data science and analytics company that provides research for healthcare providers. He currently serves on the Board of Directors of Trilliant Health and Mployer Advisor, and on the Board of Advisors for the Nashville Capital Network. Hal previously served in executive roles at Aegis Health Group, Digital Reasoning, Shareable Corporation, Availity, LLC, RevPoint Healthcare Technologies, Martin Ventures and Data Advantage. Hal has two undergraduate degrees from Southern Methodist University, as well as a law degree from The University of Tennessee.  Key Insights:Hal Andrews in on a mission to improve market analytics, research, and predictions in healthcare.  Think Local. Many strategic decision and predictions in healthcare are based on national metrics. However, healthcare is local. Different sub-markets have different population health needs and habits, and are dynamic. Trilliant Health gives health providers local-level data for decision making.Dynamic Planning. Many strategic decisions in healthcare are made from inpatient data, which represents only a fraction of services and revenue. Additionally, that data informs year-long strategic planning, with no adjustments unless there is a crisis like COVID-19. Trilliant helps health systems engage in dynamic planning, making decisions based on monthly rather than yearly data.Insights for Entrepreneurs. There's an old saying that two things in life are certain: death and taxes. Hal adds two more certainties to that list for founders: it's going take more money than you thought, and more time than you thought.This episode is hosted by Tarun Kapoor, M.D. He is a member of the Advisory Council for Day Zero and is Senior Vice President and Chief Digital Transformation officer at Virtua Health. Relevant Links:Learn more about Trilliant HealthListen to “Lessons from a 5x Healthcare Startup CEO - with Hal Andrews (Trilliant Health)” from Building While Flying

Very glad to welcome on Tim Estes, Founder of Digital Reasoning, on to the Stories in AI podcast. In this episode we discuss the model driven approach to AI and technology for enterprises, how companies can be ready to adapt AI into their model, and Tim's personal experience building and scaling one of the earliest AI companies that drove Enterprise value. Hope you enjoy it! Tim's Bio: "Someday all software will learn and every day brings us closer to that day. It is important that it learns in a way that builds up the human race rather than tries to shape or control it for the enrichment or empowerment of a few." Tim Estes founded Digital Reasoning in college and have been its CEO throughout most of its development, and exiting after 20+ years at the helm in 2021. Digital Reasoning built software to automate understanding of structured and unstructured data based on a distinctive, patented mathematical approach to understanding natural language and leverages distributed computing technologies to make these analytics work effectively on Big Data. Digital Reasoning served the Defense, Intelligence, Financial, Enterprise Risk, and Health Care markets with solutions. Tim was one of the first AI founders to really build a business helping institutions and governments generate and create value from all of the data at their disposal. He is a brilliant entrepreneur, mission driven and has a wealth of knowledge and passion in helping other founders navigate the treacheries of entrepreneurship. LinkedIn: https://www.linkedin.com/in/testes/   A note about our sponsor: Experian is the world's leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology, and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world's leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world.

In our Hot Topic this week we have Stephen Epstein, CMO @ TRUE & Chief Marketing Officer at SoftWorks AI, Liz Long Adkins, Marketing Director @ Softworks AI, & Bob Noble, SVP of Products and Innovation @ Softworks AI to discuss with David how the launch of their rebranding is coming along.Want to know more about Stephen Epstein?As CMO at TRUE, Stephen is responsible for the firm's go-to-market strategy and related functions, including branding, positioning, product marketing, and demand and lead generation.Stephen brings over 20 years of marketing and product executive expertise and led these functions at industry leaders such as Mantas, Digital Reasoning, and Kasisto, with a deep knowledge of the financial services industry from his time at CDC Capital, JP Morgan, and Deutsche Bank. He has helped both fintech companies and global banking organizations flourish under his guidance.Want to know more about Bob Noble?As Senior VP of Product and Innovation, Bob is responsible for the direction and product roadmap of TRUE's solutions. With over 30 years of experience in providing innovative technology for Fortune 250 financial services and mortgage companies, he is passionate about AI, process improvement, and automation, holding several patents in these areas.Bob holds a Bachelor of Science in Mathematics and Computer Science from Stockton University, a Master of Science in Mathematics from Stanford University, and a Master of Science in Computer Engineering from North Carolina State University.Want to know more about Liz Long Adkins?Liz Long has over 9 years of experience working within the technology industry as a marketing professional. She now serves as the Marketing Director at TRUE, handling their omnichannel marketing campaigns driving brand awareness, product adoption, and customer retention. Prior to TRUE, Liz was the Senior Marketing Manager for the Americas at Thomson Reuters and the Global Marketing Manager for Digital Reasoning.

Today we have a guest who is an expert from both the traditional financial services world and the crypto world, which has equipped him with the ability to bridge the two worlds and build onramps into the crypteconomy.Tom Jessop, who heads Fidelity Digital Assets, is an expert in market structure, capital markets, and crypto.There are few who have seen as much as him when it comes to the evolution of market structure.He's an OG FinTech investor, investing into FinTech before it even had that moniker.He has a knack for finding trends before they are big. He did it with FinTech – and more recently he's been on the forefront of another major trend: crypto.He's the President of Fidelity Digital Assets, where he's responsible for helping one of the world's largest asset managers build out a full-service enterprise-grade platform for digital assets.Fidelity has long been a pioneer amongst financial institutions in crypto. They started R&D efforts on crypto in 2014, started mining bitcoin in 2015, and tested their first wallet and storage solution with employees in 2016.With over $11 trillion in client assets under administration and over 2.4 million trades processed per day, Fidelity's participation in the cryptoeconomy is critical to onramp large financial institutions and wealth managers into the space. Tom leads a team that is in large part responsible for making this happen.He was previously the Head of Corporate Business Development at Fidelity, where he was responsible for identifying and executing strategic opportunities.Tom joined Fidelity from Chain, a leading provider of enterprise blockchain solutions to global financial institutions.Tom previously had an illustrious career at Goldman Sachs, which culminated with a role as Global Head of Technology Business Development, where he was responsible for investing in and partnering with early-stage tech companies across blockchain, AI, and cybersecurity. Tom was also a founding member and senior leader at Goldman's Principal Strategic Investments team, investing in the likes of Circle Financial, Kensho, Digital Reasoning, and DataFox.Tom and I had a fascinating conversation about how we can take experiences from the evolution in traditional market structure and apply those learnings to crypto market structure and DeFi.Tom is such a smart, thoughtful, savvy investor and company builder. And he's an even better person who treats everyone incredibly well.Thanks Tom for coming on the Alt Goes Mainstream podcast.

The great and brilliant Tim Estes returns for another conversation, this time focused on AI readiness. Tim is Founder & CEO of Digital Reasoning, an American AI company that raised over $130 million to bring cognitive computing services to intelligence agencies, financial institutions, and healthcare organizations. This episode's topics include: what AI readiness means, ground rules and AI readiness components including: data, expertise, and in-house talent. Want to learn more about how to implement AI in your organization? Download Emerj's guide: emerj.com/beg1

We talk to Alex Young, founder of Virti, a company combining mixed reality and artificial intelligence into a mind-blowing training platform. By harnessing data, and allowing users to build their own immersive scenarios, Virti is hoping to bring limitless personalized education to every corner of the globe, unlocking the full power of human potential. FIND OUT MORE - Guest: Alex Young, Founder or Virti - Website: virti.com - Digital Reasoning on Twitter: @virtimed - Virti's 'The Human Performance Podcast' - https://virti.com/resources-2/podcast/ GET IN TOUCH Questions? Comments? Fiery opinions? We’d love to hear them! Drop us an email at wcn@granttree.co.uk FIND US ONLINE For the latest updates, and even more content, make sure you follow us online Twitter: @wcnpod Instagram: @wcnpod

We're joined by Digital Reasoning's co-CEO Tim Estes to discuss the intriguing world of Conduct Surveillance. Digital Reasoning has already pitted their bleeding-edge platform against financial misconduct and child sex traffickers. So, what's next for this powerful but some would say controversial technology? FIND OUT MORE - Guest: Tim Estes, Executive Chairman and Co-CEO of Digital Reasoning - Website: digitalreasoning.com - Digital Reasoning on Twitter: @dreasoning - The Unreasonable Effectiveness of Data: bit.ly/3j5H2pw - On YouTube, a network of paedophiles is hiding in plain sight (WIRED): bit.ly/2CCWWqJ GET IN TOUCH Questions? Comments? Fiery opinions? We’d love to hear them! Drop us an email at wcn@granttree.co.uk FIND US ONLINE For the latest updates, and even more content, make sure you follow us online Twitter: @wcnpod Instagram: @wcnpod

Discover how to nurture alignment that closes AI deals, as we interview Tim Estes, Founder & CEO of Digital Reasoning, an American AI company that raised over $130 million to bring cognitive computing services to intelligence agencies, financial institutions, and healthcare organizations. Whether selling or buying, technology leaders need to ask the right questions before purchasing or implementing AI solutions. In this episode, Tim offers his valuable perspective on how to match AI solutions with real business problems, how to estimate and quickly calibrate ROI, and how to effectively communicate with decision-makers. Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1

In this episode of the Cybrary Podcast, we sit down with Uday Kamath the Chief Analytics Officer at Digital Reasoning, Jimmy Whitaker the Director of Applied Research (Audio) at Digital Reasoning and John Liu, the CEO of Intelluron. Speaking with Leif Jackson, Cybrary's VP of Content and Community, they discuss their book Deep Learning for NLP and Speech Recognition, which includes case studies and implementation of machine learning that are beneficial to both researchers and engineers alike.

Today's guest is Uday Kamath, Chief Analytics Officer at Digital Reasoning. Uday is experienced in building large analytics team, products, commercialization and technical sales and has a great interest in Machine Learning theory and practical implementations in NLP and Speech Analysis. Uday is responsible for Digital Reasoning's Machine Learning Products and Innovation. By leveraging AI Techniques such as Deep Learning and Statistical Machine Learning, this allows them to create improving human communications through speech, images and text in several domains. In the show, Uday will give his thoughts on: How he became attracted to the world of Data Science The work he does at Digital Reasoning Interesting projects within human trafficking, healthcare and finance New trends we should embrace such as XAI and Unsupervised Learning Building a great Data Science team What a great Data Scientist looks like

 Today’s guest is Uday Kamath, Chief Analytics Officer at Digital Reasoning. Uday is experienced in building large analytics team, products, commercialization and technical sales and has a great interest in Machine Learning theory and practical implementations in NLP and Speech Analysis. Uday is responsible for Digital Reasoning’s Machine Learning Products and Innovation. By leveraging AI Techniques … Continue reading "E22 Uday Kamath, Chief Analytics Officer at Digital Reasoning"

Chief Analytics Officer at Digital Reasoning joins host JP Valentine on AI Mentors to discuss the work he does at Digital Reasoning, new trends we should embrace such as XAI and Unsupervised Learning, what a great Data Scientist looks like and how to build an effective Data Science team. Welcome to episode 22 of AI … Continue reading "E22 Uday Kamath, Chief Analytics Officer at Digital Reasoning"

Can you pick up misconduct signals from a conversation? Joining us today is Brandon Carl, the Vice President of Product Management at Digital Reasoning. He oversees their product portfolio and brings together research, machine learning, and development for their audio analytics and conduct surveillance, and he’s here to share how artificial intelligence can change the way we do compliance. Digital Reasoning Solutions Digital Reasoning got its start working with government institutions on identifying bad actors. When they shifted over into conduct surveillance, it was a very natural foray into looking for misconduct or bad actors within financial markets. The key behind all these regulations is to instill confidence in people participating in markets and make sure that the market is protected and liquid and that they’re getting fair prices. Finding signals When you take a look at bad actors in general, you tend to find two buckets of people: 1) Negligent bad actors who don’t have bad intentions, but are probably just unaware of the laws, and 2) Nefarious bad actors who are working to skirt the system and are intentionally engaging in misconduct. When you take a look at them, you will see signals around how people communicate: someone may ask people to “keep things confidential” after engaging in some form of misconduct; if someone is narcissistic, you may hear them boasting after the fact. So the technology not only looks for the act of misconduct itself, but these behavioral signals as well. Passing on the information There are two views of the world that their customers traditionally think of: First, the Alert-Based View, which you can think of as a single communication travelling through time that the algorithm will scan. Second is the Investigations View, where teams will review and investigate the alerts. Now you want to amalgamate the various alerts that have happened over time, and think of those as either weak indicators of misconduct (like boasting), or strong indicators of misconduct (that point to a very specific form of activity). The world has evolved, and we’re realizing our communications say a lot about who we are and what we do. Ongoing Education CreditsIf you’re a compliance professional looking for a convenient and effective way to fulfill your continuing education requirements, check out our 4 hour-long training packages that will keep you up to date with the latest developments in the compliance field. Digital ReasoningBrandon Carl | Website | Twitter | Facebook | Vimeo | Financial Conduct Surveillance | AI Article Learn more about your ad choices. Visit megaphone.fm/adchoices

欢迎收听丽莎老师讲机器人，想要孩子参加机器人竞赛、创意编程、创客竞赛的辅导，找丽莎老师！欢迎添加微信号：153 5359 2068，或搜索微信公众号：我最爱机器人。丽莎老师讲机器人之不知不觉渗入生活的AI技术。人工智能正越来越多的渗透入人们的生活，改变人们的生活，从自然语言生成到语音识别、从医疗诊断到商业决策，AI逐渐开始显露出巨大的优势，并且它的脚步不会停止。1.自然语言生成（NLG）自然语言生成是人工智能的一个子学科，它可以将海量的数据转换成人类可读的文本，通过这样的方式实现与人类的交流。目前主要的应用是为客户提供报告生成和市场摘要等服务。通过对数据的分析、挖掘理解，从数据中抽取出有效的信息并总结成文本输出。优秀的AI还能实现自动排版和美化，做到可读性与优良的可视化效果。目前该技术主要由Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop等公司提供。2.语音识别提到语音识别，人们第一时间会想到手机里的Siri。你可以直接通过语音告诉它你的想法、需求或者任何其他的东西。通过机器学习算法，它可以将声音序列转化为对应的词语并进行理解，随后给出响应。支撑它最核心的功能就是准确的识别你发出的声音所表达的意思。当然除了Siri还有很多很多的语音识别系统。每天，都有更多的系统都被创造出来，它们可以通过声音识别人类语言，通过语音响应交互系统和移动应用程序服务于成千上万的 人。目前提供语音识别服务的公司包括NICE, Nuance Communications, OpenText 和Verint Systems。3 .虚拟助理虚拟助理就是能够与人类交互的计算机助理或程序。这种技术最常见的例子是聊天机器人。你可以向他们查询天气、餐馆、服务，甚至可以请它们帮忙预订酒店、机票或者是演出的门票，并为你计划好日程。想象一下，早上起来你告诉你的虚拟助理明天要去广州出差，任务结束后想去见见住在深圳的朋友，吃个饭看看电影。它就能帮帮你查好明天的机票、规划好路线行程所用的时间，并预定好出租车。同时还会根据你的喜好和网上信息定好深圳的餐馆，并给你的朋友发去定位，随后寻找一家最适合的电影院来部大片度过一个美妙的夜晚。除此之外、虚拟助理目前正被用于智能家居管理，它可以接入室内的智能设备，只需你一个指令、就能为你开灯、把电视放到喜欢的台，热好牛奶。提供虚拟助理服务的公司包括供Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft, and Satisfy4.机器学习平台机器学习(Machine Learning ML)是计算机科学的一个分支学科，也是人工智能的一个分支。它的目标是开发出让计算机能够自己学习的技术。但今天一般的机器学习已经不需要开发人员自己费力耗时的研究编程、有很多的机器学习平台提供了从算法到应用的一系列工具，包括APIs、开发和培训工具、大数据、应用程序甚至运行算法的基础设施云服务。今天机器学习平台正获得越来越多的注意力，企业和个人都可以接入使用。无需特别深厚的学术功底和技术能力，只需要自己的数据就可以实现机器学习应用。甚至，有的平台还提供数据标注服务。一些销售ML平台的公司包括Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree, and Adext。值得一提的是Adext AI是世界上第一个观众管理工具，它将真正的AI和机器学习应用于数字广告，为每一个广告找到可能带来潜在收益的观众或群体。另外深度学习平台是机器学习重要的部分。深度学习包括具有各种抽象层的人工神经回路，这些抽象层可以模拟人脑，处理数据并创建决策模式。它目前主要用于识别模式和分类的应用程序，包括了计算机视觉、自然语言处理、语音处理等非常广泛的应用。除了互联网巨头外，很多初创公司和独角兽都提供了自己对于深度学习独到的解决方案。Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology 和Sentient Technologies都有值得探索的深层学习技术。5 .人工智能优化硬件人工智能使得硬件更加友好。怎样做到的？现在通过专门为执行人工智能的任务而设计和构造的新图形和中央处理单元和处理设备。除了GPU用于加速神经网络和并行计算外，一系列专用芯片也如雨后春笋般出现，像神经计算棒、自动驾驶芯片和健康管理芯片等ASIC逐渐走入了我们的生活，支撑着低成本、高性能、低功耗的产品。这些芯片可以直接插入你的便携式设备和其他地方。目前Alleviate, Cray, Google, IBM, Intel, and Nvidia等公司都在致力于开发下一代为人工智能优化的硬件产品。6.生物测定学这项技术可以识别、测量和分析人类行为以及身体结构和形态的物理特性。比如人体步态、行为分析、特征点检测、声纹、虹膜、指纹甚至签名笔迹等等生物特征都可以利用人工智能进行识别。利用深度学习的强大能力，将人体特征进行量化准确的测定。它令人类和机器之间更自然的互动，包括与触摸、图像、语音和肢体语言识别相关的互动，在市场研究领域中占有重要地位。3VR、factiva、Agnitio、FaceFirst、sensor、Synqera和Tahzoo都是致力于开发这一领域的生物测定公司。7.自动化机器人自动化机器人使用模拟和自动化人工任务的脚本和方法来完成工作流程。当雇用人从事特定工作或任务过于昂贵或效率低下时，自动化机器人就特别有用。除此之外，包括市场营销、文本处理、以及一切重复性、规则性的劳动都可以被自动化机器人取代。这样可以最大限度地利用人力资源，让员工进入到更具战略性和创造性的岗位，使员工的工作能真正影响公司的发展。（注：这里的机器人除了传统工业机器人外，很大程度上指的是自动化处理程序）Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, and WorkFusion也是拥有自动化机器人技术的公司。8．文本分析和自然语言处理（NLP）这项技术通过统计方法和ML来进行文本分析，理解句子的结构，以及它们的含义和意图。文本分析和自然语言处理主要用于分词词性标注、命名实体、情感分析、文本分类等等，而结合文本分析可以实现智能审核、智能采编、自动问答，以及文本的自动生成、知识图谱等等，同时还被用于安全系统和欺诈检测。大量自动助理和应用程序也在使用它们来提取非结构化数据。比如医疗机构病历电子化和合同的法律合规等都是他们的应用范围。这些技术的一些服务提供商和供应商包括Basis Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, 和Synapsify.9.情感识别这项技术允许软件使用高级图像处理或音频数据处理来“读取”人脸上的情感。我们现在已经可以捕捉“微表情”或微妙的肢体语言线索，以及暴露一个人感情的语音语调了。执法人员可以使用这项技术来尝试在审讯中发现更多信息。在市场上还有其他更广泛的应用。越来越多的初创公司致力于该领域。除了口头分析之外，将音频输入，可以用来描述一个人的性格特征，包括他们积极、激动、生气或喜怒无常的等级。同时情感视频分析被用来激发新产品创意，识别升级并增强消费者体验。情感人工智能被用于游戏、无人驾驶、机器人、教育、医疗保健行业和其他领域，利用来自面部和语音的数据进行面部编码和情感分析。10.图像识别图像识别是识别和检测数字图像或视频中的物体或特征的过程，人工智能越来越多地叠加在这一技术之上，产生了巨大的效果。人工智能可以在社交媒体平台上搜索照片，并将其与各种数据集进行比较，以确定哪些照片在与搜索图像最相关。图像识别技术还可以用于检测车牌、诊断疾病、分析客户及其意见，以及进行面部识别来验证用户。同时我们日常生活中接触最多的“刷脸”也属于图像识别的一种。除此之外，电商平台上的图像检索，农作物病虫害识别、安防监控、交通监测和智慧城市等都在大规模使用着图像识别。

This week’s podcast is new and improved thanks to a large investment to improve the sound quality of the show. Let us know what you think. Also on the show, Anthony and James discuss Digital Reasoning’s soon-to-be-released Cognition platform (3:30) and give a preview of the July issue of Waters (11:00). Additionally, Anthony goes off on a convoluted rant about the Supreme Court (16:15) and then James tries to pretend that he knows something about the World Cup (25:45). https://www.waterstechnology.com/market-data-data-analytics/3719941/digital-reasoning-readies-public-release-of-model-training-platform

Today, Tom Fox talks with Tim Estes, the President and Founder of the A.I. and software company Digital Reasoning. Tom asks about the work of his team at DR who have developed new AI-driven tools that give companies greater insight into the workings of their companies by making unstructured communications data readable for risk management, compliance and fraud prevention purposes. Learn more about your ad choices. Visit megaphone.fm/adchoices

Maria Gotsch. She’s the president and CEO at the Partnership Fund for New York City, which is the investment arm of the Partnership for New York City. In addition to leading the funds operations, Maria has spearheaded the creation and operation of a number of fund strategic initiatives including The Fintech Innovation Lab. Prior to joining the fund in 1999, Maria was a managing director at a company that is now part of Deutsche Bank, providing strategic and financial advice related to mergers, acquisitions, dispositions, joint ventures and the development of business strategies. Maria worked for LaSalle Partners in the New York area and Merrill Lynch Capital Markets, in both New York and London. She graduated with an MBA from Harvard Business School and a BA from Wellesley College. Famous Five: Favorite Book? – “A book on the Iranian negotiations with the US around the treaty” What CEO do you follow? – Henry Kravis Favorite online tool? — MyCity Bike app How many hours of sleep do you get?— 7 and a half If you could let your 20-year old self, know one thing, what would it be? – “Be bold, be bold, be bold!”   Time Stamped Show Notes: 01:11 – Nathan introduces Maria to the show 02:15 – Partnership Fund is the corporate sector at the table that is trying to grow the NYC economy 02:21 – Henry Kravis of KKR has raised funds in the late 90s and raised from major corporations and individuals, in NYC 02:32 – The investor list is the “who’s who" of the private equity 02:36 – Partnership Fund was structured as an evergreen fund 02:48 – “We can do things that are a little bit riskier and take a little bit longer than a traditional private sector investor” 03:02 – “We often work with government, but we’re privately funded” 03:13 – Partnership Fund is like an interest-free loan for 45 years 03:33 – All of Partnership Fund’s gains just go back to their funds and they reinvest it 03:41 – “We have the investors’ money for 45 years and if we make returns, it comes back to us to fund new projects” 03:58 – The Fintech Lab is currently in their 7th year and has 75 graduates 04:08 – It is an elite program and takes 68 companies a year 04:18 – It is structured as a civic program 04:32 – The goal of the program is to help reduce the pain and agony of a small emerging company trying to get into and get attention from large financial institutions 05:06 – “Because it is competitive to get in, it’s a shark tank to get in, but once you’re in, it’s a dolphin tank” 05:18 – They get 150-160 applications a year 05:28 – Companies are selected by their financial institution partners 05:34 – A company’s technology has to rise to the level of addressing a major pain point for major financial institutions 06:10 – In some cases, it’s not about an acquisition, it’s about using 06:15 – The fact that they are a non-profit civic organization is important 06:29 – CTOs and CIOs will come to the table as a civic program, partly to help grow the fintech community in NYC, to create jobs 07:23 – They invest in some of the graduates’ post programs 07:30 – The lab is laser-focused in solving problems 07:41 – They are not doing any direct-to-consumer programs 08:20 – The big 3: data, security and risk management have been on the top of the CIOs list from the beginning 08:43 – However, new things are coming 08:47 – Disruptive talent management has been added as a new category 08:58 – Blockchain has gone through an interesting cycle 09:14 – This year, there’s much less interest in blockchain and distributed ledger 09:52 – Maria predicts that in 2 years, there will be an increase of interest in enabling technologies that fit around the distributed ledger 10:31 – In data, Digital Reasoning came into the program with an interesting technology that is able to read unstructured data, and they’re working for the government 11:03 – They were advised to focus on compliance 12:04 – In security, Centripetal Networks has a perimeter defense technology and they’re gaining traction from people who have a lot of retail locations 12:34 – In risk management, Quarule automates some of the processing of regulatory tracking and flagging operations against the regulations 13:23 – In blockchain, Digital Asset Holdings has raised a significant amount of money and has been involved in some major projects 13:50 – Maria shares how they are telling companies to create more jobs in NYC 14:02 – The companies will also realize that they need to have people on the ground in NYC 14:20 – Some have moved to their headquarters in NYC 14:46 – “We’ve not raised money since the late 90s” 14:50 – The initial fund size was $120M 15:46 – New York is starting to be seen as a center for fintech 16:34 – There are some smaller companies that are trying to go after pieces and as they scale, the acquisition cost is increasingly expensive 17:05 – LearnVest is a good example 17:40 – The small business lenders come to a market that the banks aren’t servicing 18:00 – There are companies who are an exception to the rule 18:17 – Most of the companies end up partnering with large institutions 18:54 – What the large financial institutions have is expertise and compliance 20:10 – The Famous Five   3 Key Points: The trend in the fintech space is constantly changing. Creating more jobs in New York City means more opportunities for companies and for the people of New York. Be BOLD—don’t shrink, don’t hesitate—just go for it.   Resources Mentioned: The Top Inbox – The site Nathan uses to schedule emails to be sent later, set reminders in inbox, track opens, and follow-up with email sequences Organifi – The juice was Nathan’s life saver during his trip in Southeast Asia Klipfolio – Track your business performance across all departments for FREE Acuity Scheduling – Nathan uses Acuity to schedule his podcast interviews and appointments Host Gator– The site Nathan uses to buy his domain names and hosting for the cheapest price possible Audible– Nathan uses Audible when he’s driving from Austin to San Antonio (1.5-hour drive) to listen to audio books Freshbooks – Nathan doesn’t waste time so he uses Freshbooks to send out invoices and collect his money. Get your free month NOW Show Notes provided by Mallard Creatives

In this section, we showcase Digital Reasoning, which is bringing benefits of artificial intelligence and big data domain to risk management areas such as Risk Monitoring and Risk Treatment.

This week's episode explores the possibilities of extracting novel insights from the many great social web APIs available. Matthew Russell's Mining the Social Web is a fantastic exploration of the tools and methods, and we explore a few related topics. One helpful feature of the book is it's use of a Vagrant virtual machine. Using it, readers can easily reproduce the examples from the book, and there's a short video available that will walk you through setting up the Mining the Social Web virtual machine. The book also has an accompanying github repository which can be found here. A quote from Matthew that particularly reasonates for me was "The first commandment of Data Science is to 'Know thy data'." Take a listen for a little more context around this sage advice. In addition to the book, we also discuss some of the work done by Digital Reasoning where Matthew serves as CTO. One of their products we spend some time discussing is Synthesys, a service that processes unstructured data and delivers knowledge and insight extracted from the data. Some listeners might already be familiar with Digital Reasoning from recent coverage in Fortune Magazine on their cognitive computing efforts. For his benevolent recommendation, Matthew recommends the Hardcore History Podcast, and for his self-serving recommendation, Matthew mentioned that they are currently hiring for Data Science job opportunities at Digital Reasoning if any listeners are looking for new opportunities.