Podcasts about automated insights

DrinksWithAVC chugs along, introducing episode eighteen with Jim Dugan, CEO & Managing Partner of OCA Ventures, harmonizing EMPATHY, PASSION, DETERMINATION, HUMANITY, and a touch of FRANK SINATRA. With 23 years of venture experience, Jim has journeyed through remarkable startups like Alembic, Ocient, The Mom Project, and Presidio. Vik and Bree get the lowdown on Jim's legendary Carbonara, recount a larger-than-life encounter with Andre the Giant, and explore how Jim champions the ethos that genius and grit aren't geographically constrained. Plus, don't miss the debut of our fresh segment: Follow, Co-invest, or Pass!Links:www.ocaventures.comwww.twitter.com/jimocaventureswww.themomproject.com (Cause!)www.interwovencircles.com (Learn about Tim's tremendous journey across the US)www.1kproject.org/ (Ukraine support)www.heimarkvineyard.com/acquire/ (Wine!)

The guys are still in Houston talking through the Community Summit 2021. Alot of Dynamics folks at the conference, where does Power BI fit into that story? Automated Insights in Power BI is a relatively new feature for Premium Users, which has blown Mike, Seth, and Tommy's mind. However, they find it "interesting". What would do they think the feature plays in for Users, and where do they want to see it go to make it successful? Get in touch: Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page. Visit PowerBI.tips: https://powerbi.tips/ Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/channel/UCPwPrIpZwlfIKcoUpRwl9OQ Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Follow Mike: https://www.linkedin.com/in/michaelcarlo/ Follow Seth: https://www.linkedin.com/in/seth-bauer/ Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Collecting Google Analytics data is great, and important for all website owners. And when you first start out, sometimes simply collecting data is all you can handle without getting overwhelmed. Once a decent amount of data has been collected you need to start analyzing it in order to get a benefit. You need to make sense of the data and understand what story it's telling in order to make improvements. An easy way to get started with analyzing your data is to focus on the Google Analytics automated insights. We'll go over three simple ways to analyze data using automation built into Google Analytics.View the full article here: https://clearpath.online/resources/google-analytics-automated-insights/

Who wrote the words you're reading right now? Someone, right? Some faceless human. But are you sure? What if these words were actually written by a computer? Would you know? Would you care?Those are the questions we explore in this episode of Web Masters while talking with Robbie Allen, founding CEO of Automated Insights. Automated Insights began as a company called StatsSheet, Inc. that created automated game summaries and analysis for sporting events. But it evolved over time to become a technology company that automates online content creation for companies around the world. In fact, there's a good chances you've encountered some of their computer generated content while surfing the Web, and you didn't even realize it.For a complete transcript of the episode, click here.

This episode discusses the process effectiveness ratio (PER), a performance optimization service, and how to use analytics and Automated Insights to formulate more meaningful solution plans.

This episode discusses natural language generation (NLG) software and how utilizing tools such as Automated Insights by Wordsmith can help healthcare provider organization make actionable decisions to improve their revenue cycle performance.

News: Google Ads announces automated insights, a popular WordPress plugin has a vulnerability, and Web Stories are coming to Google Discover. Here’s what happened this week in digital marketing.

This week's digital marketing news: Google Ads announces new machine-learning powered Insights Page and automated Performance Max campaigns. Plus, new advanced formats for Google Ads Responsive Display ads launch and Facebook delays their attribution-window change. See more at https://marketingoclock.com/

Joe Procopio Contributor Share on Twitter Joe is a multi-exit, multi-failure entrepreneur. Joe is currently building Spiffy, and previously sold Automated Insights, sold ExitEvent, and built Intrepid Media. Find more about Joe at joeprocopio.com or @jproco on Twitter.

Hi, I’m Jamin Brazil and you’re listening to the Happy Market Research Podcast. Today, my guest is Marc Zionts, CEO of Automated Insights. Automated Insights is the creator of Wordsmith, the world’s first public natural language generation platform. Wordsmith allows users to generate human-sounding narratives from data. Prior to Automated Insights, Marc has been a leader in both technology and market research for two decades. FIND MARC ONLINE: https://automatedinsights.com/ Linkedin: https://www.linkedin.com/in/marc-zionts-5b250/ FIND US ONLINE: www.happymr.com Social Media: @happymrxp LinkedIn: https://www.linkedin.com/company/happymarketresearch/ [00:40] Over the last decade the market research industry has been disrupted.  Our largest agencies are struggling to keep up as their customers turn to newer, faster and cheaper data sources. Now we are on the edge of yet another major market shift. Now is the time for us to reassert ourselves as the rudder of the brands we love. Thank you for tuning in to the Happy Market Research Podcast where we are charting the path for the future of market researchers and businesses. Hi, I’m Jamin Brazil, and you’re listening to the Happy Market Research Podcast. Today my guest is Marc Zionts, CEO of Automated Insights. Automated Insights is a creator of Wordsmith, the world’s first language public international platform. Wordsmith allows users to generate human sounding narratives from data. Prior to Automated Insights, Marc has been a leader in and research firms for over two decades. Marc, thanks very much for being on the Happy Market Research Podcast. [1:34] Thank you, and I am delighted to be here. [1:36] So talk to us a little bit about your early days, about your parents and where you were raised, and how that has impacted your career. [1:38] Well, thank you. I am fortunate that my parents were both working throughout my entire life –as I was growing up. I was born up North and then we moved down to Florida when I was young. My mother is an educator, and my father always worked in the electronics industry. And a couple of stands-outs from there that were great inspirations for me. First of all, my mother as an educator just really focused on the importance of being a life-long learner, you could be reader. And she set a couple of examples by doing a couple of things. One, going back to school at her mid-age and getting an advanced degree. And I think that thing is very admirable. At the same time, once my parents got older, they had not traveled a lot. And by the time they were 50, I think they had just traveled to maybe two countries. But since then, they have traveled to 125 countries. So I think that the whole quest for knowledge, understanding and learning, is something that my mother –as an educator, certainly imparted upon me. On my father’s side, there have always been good careers. But I have to honestly say that my father never enjoyed working. So that actually set another good example for me. And that is, life is short, you better love what you do, you better be passionate about what you do. And if you are fortunate enough to have those things occur, as they say, work doesn’t become work, it becomes a part of your life –it becomes something where you become hungry for knowledge, you’re continuously interested in getting better, improving and learning more. So in different ways, my parents have had an impact on me. But certainly I think it was a foundation for me in terms of developing. [3:39] Yeah, I found that as I enjoy what I am doing for a living, it creates this beautiful bleed into every other area of my life. And it winds up that work can be an enhancer of my relationships because it is not just a start-and-stop experience. And when I get home, I don’t need to plug out and sit on the couch to have a beer or think that I have to do that in any other way. You can engage and then… There is not this “Oh,

Marc Zionts has successfully led companies since 1987 and is the CEO of Automated Insights, a Vista Equity Partners owned company. Zionts is an Independent Board Director for Pivot 3, TEOCO, and Friends of the Earth. Besides enjoying time with family, Zionts is an avid outdoorsman and accomplished bicycle racer.

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。

"How do you feel about looking into a rear-view mirror that's three months old? How does that help you move your business along?" Marc Zionts, CEO of North Carolina-based Automated Insights, explains how natural language generation can help various industries go beyond business intelligence dashboards and automate data insights.     == MORE ABOUT OUR PODCAST ==    DON'T MISS OUT. Get the latest show every week, automatically and free, at https://www.aicpa-cima.com/disruption.html. Share it easily with colleagues and friends by using the icons on the media player.  TAKE IT FURTHER. Find related CPD/CPE resources at https://www.aicpastore.com/GoBeyondDisruption and https://www.cgmastore.com/GoBeyonddisruption. STAY CONNECTED. Follow #GoBeyondDisruption, @AICPANews and @CIMA_News on social."   ©2018 Association of International Certified Professional Accountants (AICPA & CIMA). All rights reserved 

Episode Summary: Machine learning (ML) can be used to identify objects and pictures or help steer vehicles, but is not best suited for text-based AI applications says Robbie Allen, founder of Automated Insights. In this episode of AI in Industry, we speak with Robbie about what is possible in generating text with AI and why rules based processes are a big part of natural language generation (NLG). We also explore which industries are likely to adopt such NLG techniques and in what ways can NLG help in business intelligence applications in the near future. You can listen to the full interview with Robbie here: https://www.techemergence.com/robbie-allen-from-automated-insights-the-use-cases-of-natural-language-generation  

Your Alexa skill could become the voice of your company to customers. How do you make sure that it conveys rich information, delivered with your brand's personality? In this session, Adam Long, VP of Product Management at Automated Insights, discusses natural language generation (NLG) techniques and how to make your Alexa response more insightful and engaging. Rob McCauley, Solutions Architect with Amazon Alexa, shows you how to put those techniques into action.

It's not often that you see a blog post that makes you think, discuss, and maybe even a little sick to your stomach but that's what Steve Rayson of BuzzSumo achieved with his controversial post "The Future is More Content." Steve has put out some thorough, well-developed thought leadership pieces over the years and this post is among his finest because he brings up an ugly topic we choose to ignore -- that swarming the web with content -- maybe even crappy content -- is a legitimate strategy. It's a topic I've covered in The Content Code book and in a recent podcast episode -- when you get it down to it, the best content marketing strategy is to create "Content Shock" for your competition by finding an unsaturated topical niche and then thoroughly dominating it to the point that you attract most of the Google juice. If you don't believe me, try competing with Hubspot in the content space. In a follow-up post, Chad Pollitt of Relevance goes a step further to explain that Google actually encourages quantity over quality. Perhaps their algorithm is hurting their own customers! Steve Rayson's article points to several examples where the "quantity" strategy is occurring. He points to the Washington Post strategy of increasing their publishing rate to attract more views. He furthers his argument by noting that cost of content is coming down which will rapidly enable a "quantity" strategy. We'll soon have computer algorithms creating loads of crappy content for us at very low cost. In fact, it is already happening. Steve mentioned to me that companies like Automated Insights are offering to produce 1,000 blog posts for $250. Are the posts any good? Maybe they don't have to be. Steve argues that the future of content marketing is quantity, not quality. Of course this goes against the conventional wisdom of almost every content marketing guru around these parts, but here's the truth -- Steve has only revealed the dirty little content marketing secret everybody knows but doesn't want to acknowledge: quantity can beat quality. At least in some cases ... Quality still matters, mostly When you have a business model that depends on "eyeballs on ads" then driving page views at any cost may make sense. But if you are a business (like mine) that is trying to attract loyal customers who stick around and actually do something, then the quality  model is probably the way to go. Let's use Steve Rayson's posts as an example. I never miss his articles because he always delivers in-depth, data-driven content. And he usually writes long posts -- but not too often -- so I can keep up with them. If Steve started posting 250 posts a week, the first reader he would lose is me, and that would be a shame because through his content, I have become friends and a collaborator with Steve ... which is how content marketing is supposed to work when you are trying to establish thought leadership. When I get people unsubscribing from my blog (it DOES happen!), the reason most often provided is "too many updates," and I only publish 3-4 times a week. Even if I pushed that to 6-7 posts a week, I know I would lose a LOT of readers ... even though I might get a lot more "views" because the sheer volume is going up. Viewers versus readers There is one other very important dynamic here. When people do click through to a corporate site, the average time on a piece of content is 15 seconds. So do you really want views ... or readers? Nevertheless, Steve is mostly correct in his analysis and I think the only ones who protest the truth of what he is writing either skimmed the post or are in denial. In fact, in the near future most content marketing may be turned over to the machines. I have this image in my head of those swarming bots in the The Matrix Trilogy hunting down unsaturated long-tail niches and then overwhelming the little opening with thousands of pieces of content. Of course this will happen. Rather depressing to think about, isn't it? I suppose at the end of the day the only "Neo" hero we have in the content marketing world is either to be the content curator or to be the brand trusted above all others. If we can create content that is un-missable, unmistakable, and un-copy-able we might have a chance ... but let's explore this idea a little more, shall we? Tom Webster and I dive over the crappy content waterfall in our latest Marketing Companion episode. We punch holes in the quantity versus quality debate as well as revive our plans for CompanionStorm, a listener conference featuring Kanye West (kind of). You'll have to hear it to believe it! Please support our extraordinary sponsors. Our content is free because of their generosity. Many thanks to our friend Scott Monty for the awesome show intro. Be sure to check out his amazing newsletter The Full Monty and his new podcast available here: fullmontyshow.com, BuzzSumo is the world’s best way to discover, analyze and amplify your content. Run over to BuzzSumo today for a 14 day free trial. Beyond data, BuzzSumo offers priceless insights into content discovery, monitoring, influencers and outreach, content research and planning, and competitor research. Find out why so many Marketing Companion fans are now hooked on Buzzsumo. Check out BuzzSumo’s powerful technology to look at the hottest content trends down to the hour! Affinio is now offering a FREE eBook co-authored with Mark Schaefer called How to Identify, Understand and Grow Your Ideal Content Audience. Check it out, as well as their new free audience Discovery tool. Affinio is an advanced marketing intelligence platform that leverages the interest graph to understand today’s consumers. Affinio believes that if we can understand individuals at a deeper and richer level, then we can fundamentally change the way people relate to one another. By understanding the interests and cultural DNA of key audience segments, marketers are empowered to take an audience-first approach to making meaningful connections with ideal consumers. Find out how at Affinio.com.

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