Statistical techniques analyzing facts to make predictions about unknown events
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3 episodes with predictive analysis
2 episodes with predictive analysis
2 episodes with predictive analysis
2 episodes with predictive analysis
2 episodes with predictive analysis
Want real ROAS benchmarks from 300+ games and $200 M+ in spend?This episode of 2.5 Gamers goes deep with ZJ from PVX Partners, who brings an insane dataset from UA financing across puzzle, casual, strategy, and 4X games.We cover what's really happening in 2025:
In this conversation, Kevin Daisey and Mitch Jackson explore the transformative impact of AI on the legal profession. They discuss how lawyers can leverage AI to enhance efficiency, improve client experiences, and create more engaging content. Mitch emphasizes the importance of adopting a proactive mindset towards AI, addressing concerns about job displacement, and utilizing AI for predictive analysis and timely content creation. The discussion also highlights the need for lawyers to focus on client-centric content and the potential of AI tools to enhance communication and marketing strategies. Today's episode is sponsored by Answering Legal. Click here to get started with your 400 minute free trial! Chapters (00:00:00) - 00:00 Introduction and Guest Introduction(00:02:04) - Understanding AI in Law Practice(00:07:32) - The Impact of AI on Legal Jobs(00:12:33) - Enhancing Client Experience with AI(00:17:31) - Using AI for Predictive Analysis(00:21:33) - Creating Client-Centric Content(00:27:52) - Leveraging AI for News Jacking and Content Creation
The Institute of Internal Auditors Presents: All Things Internal Audit In this episode, Antonio Cacciapuoti and Alessandro Casarotti join Ricardo Martinez to discuss the impact of AI on financial crime. They explore how AI is being used by criminals, the challenges it presents, and how internal auditors can leverage AI to enhance their controls and detection mechanisms. Learn more from this episode's guests, Antonio Cacciapuoti and Alessandro Casarotti, at their upcoming session at The IIA's 2025 Fraud Virtual Conference on February 20th, 2025. Host: Ricardo Martinez, senior manager, Portfolio Strategy, The IIA Guests: Antonio Cacciapuoti, head of internal audit, Eurizon Alessandro Casarotti, forensic and anti-financial crime director, PwC Luxembourg Key Points: Introduction to AI in Financial Crimes (00:00:02) Criminal Use of AI in Financial Crimes (00:00:35) AI's Impact on Misinformation and Market Manipulation (00:00:51) AI in Transaction Monitoring and Predictive Analysis (00:04:12) Challenges with Data Quality and System Maturity (00:07:24) Human Skills and Data Quality in AI Efficiency (00:08:31) AI's Role in Reducing False Positives (00:06:08) Importance of Human Factor in AI Implementation (00:09:11) AI's Limitations and the Need for Human Oversight (00:10:13) Future of AI in Internal Auditing (00:12:19) Multidisciplinary Approach for Future Talent (00:15:29) Risks of Over-Reliance on AI by Young Auditors (00:17:29) Conclusion and Final Thoughts (00:18:23) The IIA Related Content: Interested in this topic? Visit the links below for more resources: Auditing Artificial Intelligence Course Demystifying AI: Internal Audit Use Cases for Applying New Technology Visit The IIA's website or YouTube channel for related topics and more. Resources Mentioned: IIA 2025 Fraud Virtual Conference PwC Global Economic Crime and Fraud Survey IIA Artificial Intelligence Knowledge Center IIA Vision 2035 Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer
Let's face it: it's getting worse out there. Trust in institutions, brands, and even people seems to be spiraling ever downward. What can we, as communicators, do to break this cycle, protect our brands, and build a culture of trust? In this episode of The Trending Communicator, host Dan Nestle once again travels into the dark world of misinformation and disinformation, this time with Lisa Kaplan, founder and CEO of Alethea, to uncover the strategies and technologies that can help you identify and mitigate misinformation and disinformation. Lisa, a recognized leader in PR and digital risk mitigation, shares her journey from Senate campaign staffer to founder of a company that recently secured $20 million in Series B funding. Her extensive experience in policy, communications, and national security provides a unique perspective on the challenges and solutions in combating online threats. Dan and Lisa explore the critical role of early detection in managing online risks and the importance of proactive measures to safeguard brands and organizations. They discuss how Alethea's technology platform identifies emerging narratives, assesses their potential impact, and offers actionable insights to mitigate risks before they escalate. Lisa emphasizes the need for ethical practices in information dissemination and the role of AI in enhancing strategic communication efforts. The conversation also touches on the broader implications of misinformation, including its impact on corporate culture and employee engagement. Lisa shares practical advice on how organizations can leverage their internal communications to build a resilient culture of trust, even in the face of digital threats. They also discuss the importance of staying true to core values and maintaining consistent messaging to preserve credibility and trust. This episode is a must-listen for communicators, marketers, and anyone interested in the intersection of technology, security, and public relations. Gain valuable insights from Lisa Kaplan on effectively combating digital threats and fostering a culture of trust within your organization. Join us for a thought-provoking discussion that can help you be a champion of truth and trust for your organization. Listen in and hear about... The escalating trust crisis in media and its impact on public relations and brand defense strategies Roles of PR professionals in combating misinformation and disinformation to protect brands and clients The founding and mission of Alethea, a company specializing in online risk mitigation and its approach to managing digital threats How recent political and social events influence corporate brand management and the necessity for proactive digital defense strategies Why the evolution of communication strategies from traditional methods to digital platforms requires rapid and informed responses to misinformation The importance of early detection in managing online risks and the benefits of technology in identifying potential threats before they escalate Effective strategies for leveraging employee communications and internal culture to reinforce brand integrity and manage crisis communication Notable Quotes On the Reality of Digital Threats: "The reality is, and what I tell everybody is like, listen, if you're not at the table, you're on the menu. And so, welcome to our digital environment." — Lisa Kaplan [00:04:06 → 00:04:16] On the Importance of Early Detection: "Our role is to be able to identify these risks and threats early and be able to give you those insights and great recommendations for what you can actually do about it, so that you're finding stuff out when it's a level one, not a level ten." Lisa Kaplan [00:05:07 → 00:05:22] On the Evolution of Influence Operations: "What started as a government tactic is now anybody can do it situation. So we do see more than just state actors. We see these criminal groups, we see these lone individual operators." Lisa Kaplan [00:15:59 → 00:16:13] On the Role of Fact-Checking: "A fact check alone doesn't work. Oftentimes you have to... It worked in that specific instance because it was a narrative caught early that was new, and because they were able to leverage fact checkers who had a very high following to get that information out early, that the narrative was false altogether." Lisa Kaplan [00:17:13 → 00:17:34] On the Challenge of Disinformation: "Disinformation targets our fear, our anxieties, our uncertainties... And so, because I was scared, because there was an information vacuum, which is the consistent area where disinformation really thrives... I fell for it." — Lisa Kaplan [00:23:33 → 00:23:54] On the Role of Employees in Communication: "You want your employees being the one saying, yes, this is a great place to work. You don't want to be the one coming out saying, I promise this is great. Like, people aren't going to trust management on that." — Lisa Kaplan [00:28:01 → 00:28:15] On the Importance of Consistency: "My advice is always, don't flip flop. Know where you stand. If it's core to your business to say something, say something." — Lisa Kaplan [00:30:35 → 00:30:45] On the Role of Technology in Communication: "Embrace technology and know how it works... It's automating the grunt work of our jobs. It's automating. It's being able to rapidly deploy counter messaging." — Lisa Kaplan [00:46:41 → 00:46:55] On the Ethical Use of AI: "It is perfectly appropriate to use AI or an LLM to potentially play around with drafting a response. Make it the first draft. It's way faster. That's totally fine. What you also have to know, though, is that you are assuming the responsibility of whatever goes out the door." — Lisa Kaplan [00:55:29 → 00:55:49] On Building Trust: "The best thing you can do is invest in trust. It's a lot easier to protect a strong amount of trust than to try to build trust when no one trusts you." — Lisa Kaplan [00:52:14 → 00:52:24] On the Power of Conversation: "Conversation is the communicator's superpower." — Dan Nestle [00:48:33 → 00:48:56] On the Importance of LinkedIn: - "LinkedIn is a major center for especially B2B, but certainly for person-to-person contact. And in my humble opinion, it is the most solid of all business platforms and the most real, like the most authentic for business people." — Dan Nestle [00:51:02 → 00:51:32] Resources and Links Dan Nestle The Trending Communicator | Website Daniel Nestle | LinkedIn Dan Nestle | Twitter/X Lisa Kaplan Alethea - Online Risk Mitigation Technology Lisa Kaplan | LinkedIn Lisa Kaplan | Twitter/X Timestamped key moments from this episode (as generated by Fireflies.ai)
“Predictive analytics uses historical data, statistical algorithms, and machine learning to identify the likelihood of future outcomes. It helps anticipate customer behaviour, optimise marketing strategies, and improve ROI." Select Appropriate AI Tools: Choose AI tools like IBM Watson, Google Cloud AI, or Amazon SageMaker for predictive analytics based on your specific needs and capabilities. Prepare and Analyse Data: Collect and preprocess your data using tools like Trifacta, and apply relevant predictive algorithms to uncover actionable insights. Implement and Optimise: Deploy your predictive models, monitor their performance, and continuously improve them with platforms like H2O.ai to enhance customer engagement and marketing ROI. Cambridge Marketing College http://marketingcollege.com Neil Wilkins Online https://neilwilkins.online/category/metaverse-marketing/
Collin welcomes back Ryan Staley to discuss specific use cases of AI in sales. They explore how sales leaders can leverage AI to create an entire sales organization in just 20 minutes, as well as using AI for predictive analysis and client segmentation. They emphasize the importance of providing enough context when using AI and how regular use improves the ability to ask specific questions. They also discuss the potential for sales leaders with AI skills to earn higher salaries.Follow the Host:Collin Mitchell (Partner, Leadium)Our Episode Guest:Ryan Staley (Founder and CEO, Whale Boss)Sponsored By:Leadium | The leader in outbound sales appointment setting*If you'd like to be a guest on the show or have any questions, email us at guest@salestransformation.co - Just tell us why you're reaching out and we'll contact you as soon as we can!
Como os dados podem ajudar ou confundir as tomadas de decisões?No Morse Trends de hoje resolvemos olhar o tema de dados por um um ângulo diferente, mostrando como eles podem sim trazer uma análise mais profunda e detalhada sobre situações e decisões, mas também como precisamos tomar cuidados com os dados, aprender a escapar de viés e "armadilhas", além de considerar o acaso e a aleatoriedade em nossas análises e decisões.
Como os dados podem ajudar ou confundir as tomadas de decisões?No Morse Trends de hoje resolvemos olhar o tema de dados por um um ângulo diferente, mostrando como eles podem sim trazer uma análise mais profunda e detalhada sobre situações e decisões, mas também como precisamos tomar cuidados com os dados, aprender a escapar de viés e "armadilhas", além de considerar o acaso e a aleatoriedade em nossas análises e decisões. See omnystudio.com/listener for privacy information.
How Predictive Algorithms Forecasted Bitcoin and Ethereum Bottom, Crypto-related Stocks, Coinbase and MicroStrategy Astonishing 500% Surge. Learn more.
How Predictive Algorithms Forecasted Bitcoin and Ethereum Bottom, Crypto-related Stocks, Coinbase and MicroStrategy astonishing 500% Surge. Learn more.
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Karen Pierce, Ph.D., explores using eye tracking to diagnose and treat autism. Her work identifies patterns in children's attention, aiming to streamline diagnosis, predict symptom severity, and tailor treatments. The focus is on early intervention by making social stimuli engaging for kids with varied attention patterns. Series: "Autism Tree Project Annual Neuroscience Conference" [Health and Medicine] [Science] [Show ID: 39170]
Predictive analysis modeling is an indispensable tool for investing in real estate and mortgages. Mastering predictive analysis modeling comes with experience and of course is crucial to the success of your real estate purchases. Understanding its significance lies in its ability to forecast future outcomes based on historical data and patterns. In this context, it's crucial to leverage predictive modeling to assess the risk associated with non-performing loans. By scrutinizing various factors such as borrower credit history, property value trends, economic indicators, and local market conditions, you can build models that predict the likelihood of loan performance or default. This predictive insight is what enables us to make informed decisions, identifying potentially profitable opportunities while mitigating risks. Incorporating advanced analytics and predictive tools to develop a robust predictive analysis model, like we use at First Lien Capital, involves meticulous data collection, analysis, and model refinement, all from gathering comprehensive datasets encompassing loan details, borrower information, property characteristics, and historical performance metrics. Utilizing the right statistical techniques and machine learning algorithms to process the data, allows you to identify correlations, trends, and risk factors affecting loan performance. Regularly updating and fine-tuning the model based on new data and market changes is essential to enhance its predictive accuracy, especially in market downturns. If there's a specific topic you'd like me to cover in our REAL TidBits series or a guest you'd like to recommend for an interview, please share with us via email to kalyani@firstliencapital.com. If you're interested in investing with First Lien Capital please connect with me at bill@firstliencapital.com or go to firstliencapital.com and press the INVEST button to be contacted by our team. To learn more, visit:https://billbymel.com/Listen to more episodes on Mission Matters:https://missionmatters.com/author/bill-bymel/
The Age of Prediction is such a fascinating book! After reading it, I really do think the job people should be preparing for is “data analyst” or “predictor”, because that's going to be used in every single industry, more than prompt engineers or AI coders - because AI is going to write its own code. Being able to understand what data to look at and why and how to make use of it, whether it's the medical industry or sports or stocks or insurance or art, this is going to be such a valuable skill to have, and it's a just beginning field. The creativity there is going to be amazing.The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk by Christopher Mason and Igor Tulchinsky is like a guidebook to what's happened, what's going to be happening, and all the different ways people use will prediction technology.Igor has a $7 billion hedge fund, which analyzes millions of pieces of data around the world to predict stocks, whether something will happen tomorrow, or an hour from now, or 10 seconds from now.Christopher Mason is geneticist and computational biologist who has been a Principal Investigator and Co-investigator of many NASA missions and projects. I wanted to know: What is the state of this industry? How much can we really predict? How can we get better at it? What are the limitations? How close are we to manipulating DNA for disease gene removal? Can single-gene editing be done within a living human? We talk about all of that, and then just have a fun time while I pitched different ideas. Enjoy our interview with Igor and Chris, authors of The Age of Prediction.-----------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe to “The James Altucher Show” wherever you get your podcasts: Apple PodcastsStitcheriHeart RadioSpotifyFollow me on Social Media:YouTubeTwitterFacebook
Traders, if you know anything about me then the title shouldn't surprise you as the topic of space & the existence of real-life time machines, led me to price charts & the importance of predictive analysis. If you'd like to learn how we teach technical analysis, check out the lessons available at https://tieronetrading.com/ Your Trading Coach - Akil --- Support this podcast: https://podcasters.spotify.com/pod/show/thetradingcoachpodcast/support
Welcome back to "Commercially Speaking," the podcast where we bring you valuable insights and knowledge to conquer the world of commercial real estate (CRE). Join us as Bo Barron, CCIM unravels the complexities of the demand gap, providing you with a clear understanding of this crucial concept. Discover how predictive analysis can be your secret weapon in making informed decisions and gaining a competitive edge in the CRE market. We'll dive into the four food groups of commercial real estate: retail, industrial, office, and residential, as we explore how predictive analysis uncovers hidden opportunities within each sector. Gain the tools and knowledge to identify emerging market trends and navigate the ever-changing landscape of CRE with confidence. By the end of this episode, you'll have a solid grasp of predictive analysis and its practical applications in your CRE endeavors. No more guesswork—just data-driven strategies that will elevate your success. Don't miss this opportunity to gain a competitive advantage in the world of commercial real estate. Subscribe to our podcast and be the first to access exclusive episodes filled with expert insights and valuable tips. Remember to like, comment, and share this video with fellow real estate enthusiasts who are eager to take their CRE game to the next level. Get ready to demystify the demand gap and become a master of predictive analysis! ⏰Time Code⏰ 00:00 - Start 02:15 - Basic Jobs RECAP 05:58 - DEMAND MODEL 07:17 - The 4 Food Groups of CRE 08:43 - Gap Analysis 20:47 - Story Time - Opening a MUSIC BAR 23:44 - Story Time - Sayin no to a VAPE SHOP 25:07 - TURN YOUR DREAM INTO REALITY: The first 3 steps 28:22 - Quickie Quiz! 32:12 - Bonus Story Time
Read a comprehensive introduction to AI for marketing with learnaieveryday.com. The premier educational resource discusses the possible impact of artificial intelligence to the industry. Access it now at https://learnaieveryday.com/how-ai-is-changing-the-game-for-marketers/ Learn AI Everyday 60 West 23rd Street Suite 638, New York, NY 10010, United States Website https://learnaieveryday.com/ Email prc.pressagency@gmail.com
Jasmine read "Predictive Analysis" and Joshua reads "Letting Go" as Season 2 of Align by Line wraps up and we're preparing to welcome whatever change that might come our way!
Thomas Viola and Matt Freedman are joined by PFF Director of Predictive Analysis Ben Brown to discuss their favorite games of the Week 5 NFL slate and more! Timestamps: What is Predictive Analysis - 0:00:50 How Do Pros Use PFF? - 0:03:10 Titans at Commanders - 0:10:10 Dolphins at Jets - 0:16:00 Lions at Patriots - 0:20:40 Bengals at Ravens - 0:28:00 49ers at Panthers - 0:32:20 Eagles at Cardinals - 0:37:20 Raiders at Chiefs - 0:42:25 Survivor Picks - 0:47:20
See my tweet from earlier. on Twitter: @BlingCharts Cause it is possible to know.
Why not hire a consultant who actually makes you money? Why not hire someone to warn you from days like today? Down we go… eBay is the worst investment anyone can make. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/bling-viera/message
Founders of construction and remodeling companies will tell you there are many different roads to starting a business. This week we hear how a self-taught sub-contractor transitioned to building a growing home remodeling company - and the difficult choice he made of building his business, instead of building for it. In the midst of launching a third company branch, Ken Combs sits down to talk us through his past mistakes and the bumpy road to scaling a successful business. Show highlights include: The counterintuitive reason building your business the wrong way is the fastest way to build it right (1:52) How to find former executives to mentor you for free (9:24) Why a “businessman who builds” makes more money, has less headaches, and enjoys more free time than a “builder with a business” (11:57) The “Predictive Analysis” process for scaling your construction business in the future (without sacrificing your current workload) (17:24) Why you already have the business processes that can double your construction company this year (26:24) How being the dumbest person in your company gives you an unfair advantage (29:13) If you want to connect with Ken, you can email him at ken@cqchome.com. To get the most out of this podcast, or connect with Duane and Dave, head over to https://buildernuggets.com and join our active community of like-minded builders and remodelers.
Dr. Debmalya Biswas is the CTO of Darwin Digital. Till January 2021, he was the AI architect of Philip Morris International. While remaining in the industry, he has written papers and published in really great publications. (pause) He grew up and did his bachelors in India, his masters in Canada, and PhD in France. He works in Switzerland. In this discussion, we explore a lot of things - from challenges of a researcher in a business setup, to understanding how he understands whether the candidate is motivated and what the future holds for NLP, Computer Vision and Predictive Analysis. LinkedIn link: https://www.linkedin.com/company/sahaanirban-podcasts/ Master Design and Logo: Rimbik Das || Animation: Madhu Kiran Reddy Thatikonda Music courtesy: "Apollo by Patrick Patrikios" (used from YouTube Audio Library). Team: Shubham P Singh, Anirban Saha, Aditya Bikram Biswas, Disha Setlur, Apoorva Rani, Dheeraj Tippani, Tarun Gupta.
Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques, and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities. Predictive analytics is often associated with big data and data science. Companies today are swimming in data that resides across transactional databases, equipment log files, images, video, sensors, or other data sources. To gain insights from this data, data scientists use deep learning and machine learning algorithms to find patterns and make predictions about future events. These include linear and nonlinear regression, neural networks, support vector machines, and decision trees. Learnings obtained through predictive analytics can then be used further within prescriptive analytics to drive actions based on predictive insights. James Stewarthttps://www.linkedin.com/in/jamesmdstewartThe Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q
Me talking about predictive analysis. Make sure to stay tuned tonight for movie ideas (not space bear). --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/bling-viera/message
Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques, and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities.Predictive analytics is often associated with big data and data science. Companies today are swimming in data that resides across transactional databases, equipment log files, images, video, sensors, or other data sources. To gain insights from this data, data scientists use deep learning and machine learning algorithms to find patterns and make predictions about future events. These include linear and nonlinear regression, neural networks, support vector machines, and decision trees. Learnings obtained through predictive analytics can then be used further within prescriptive analytics to drive actions based on predictive insights.James Stewarthttps://www.linkedin.com/in/jamesmdstewartThe Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q
In this episode of SHIFT- Getting out of your comfort zone! - I sit down with Ashissh Raichura - the Founder of Scanbo - healthcare tech that aims for a dis-ease free world by making medical diagnostic affordable, available and accessible using AI. We talk about how the future of healthcare is about preventive tech, and individualized patient driven approach. This discussion really blew my mind and I am so excited to share it with you! About Ashissh Raichura: Ashissh Raichura is a veteran techie and serial entrepreneur with over 23 years of diverse experience to his name. A doctorate in Computer Science from Vancouver, he is reputed for setting up a billion dollar business in Canada. Currently the CTO of Healthsaverz, he possesses a plethora of knowledge in BigData, Hadoop, Predictive Analysis, Cyber Forensic Analysis and Cyber Crime Investigation. An IoT futurist, Ashissh holds a fondness for medical/health-tech & smart homes and is now developing an extensive external health-care device. A moonshot thinker with a keen mind, he always sets high benchmarks in the sphere of technology. About your host: Elena Agaragimova is the co-founder of Bessern (https://www.bessern.co/)
2020 has been a watershed year for digital transformation. The prevailing conditions have compelled numerous B2C and D2C brands across industries to prioritize the use of marketing and technology together to engage with their customers. With a sea change being observed in the marketing space as brands go digital, it's also important for brands and marketers to keep up with the latest trends. To learn about the biggest and latest martech trends in the emerging markets of the Middle East and Africa, we caught up with Sanjay Swamy, Co-Founder and Director of Partnerships at MarTech Vibe. MarTech Vibe is the Middle East's only multi-channel media platform focused on marketing technology. As the pioneer and the most trusted brand in the region, they connect technology brands with the region's most dynamic marketing leaders. Sanjay highlights the following during our discussion: Changes in consumer behavior that have been influenced by COVID-19 Digital transformation and martech adoption trends shaping up in 2020 and beyond The evolution of marketing budgets in terms of spends on martech Key challenges faced by brands in adopting marketing technologies The need for brands to leverage technologies like AI, ML and Predictive Analysis to scale in a post COVID-19 world Tune in to gain insights on the digital transformation and martech trends that will continue to take industries across regions by storm beyond 2020!
The US election is upon us.It may not be your President, but you know you're watching.With record numbers of early voting, and an engaged population the likes of which hasn't been seen in decades - John and Alex from Ninja Software have a timely discussion with Keith McCormick, our unofficial resident Data Mining and Predictive Analytics expert to get the inside scoop on what you need to know and can expect to come from this years election.After the outcome of the last election, Trump has proven anything is possible, take a break from the media polls and hear the insights of a man well rehearsed in the world of data collection who has a wealth of knowledge and information to back up his claims.Join the discussion and stay informed, this week on Tech Society.◎More Information◎▸Keith McCormick, https://keithmccormick.com/▸Tech Society 008 - The World That AI Made, https://www.techsociety.fm/episodes/the-world-ai-will-make▸Tech Society 43 - University Research: a Pathway to Impact! https://www.techsociety.fm/episodes/43-university-research-pathway-to-impact▸Tech Society 009 - Is It Time for the 4 Day Work Week? - https://www.techsociety.fm/episodes/is-it-time-for-the-4-day-work-week▸FiveThirtyEight - https://fivethirtyeight.com/Website: https://www.techsociety.fm/LinkedIn: https://www.linkedin.com/company/techsociety-fm/?viewAsMember=trueSpotify: https://open.spotify.com/show/0STaLU0ATmS9dEyey4FwjviTunes: https://podcasts.apple.com/au/podcast/tech-society/id1516405840Google: https://podcasts.google.com/search/tech%20societyTwitter: https://twitter.com/TechSocietyFacebook: https://www.facebook.com/techsociety.fm/
12 percent default every 10 years
Convert raw data into profitable business decisions. Your business most certainly has a mine of under-utilized data. Now imagine having all that data organized and archived in a simple presentable format, couple that with smart computing and you have everything you need to make calculated and informed business decisions. There are four types of data analytics systems that being used in business. 1. Descriptive Analysis, Diagnostic Analysis, Predictive Analysis and Prescriptive Analysis. Descriptive data analysis looks at past data and allows us to see changes affecting a business 2. Diagnostic data analysis aims to determine why something happened. Once your descriptive analysis highlights change in a business, diagnostic analysis can be used to decipher the cause of that change. 3. Predictive data analysis predicts likely future scenarios. In this type of analysis, trends are derived from past data, which are then used to predict the outcome of business decisions. 4.Prescriptive data analysis combines the information found from the previous 3 types of data analysis and forms a plan of action for the organization to face issues or decisions. For more info on how Advanced Data Analytics Tool help businesses around the world, visit: https://cubeware.com/ Join Our Social Networks: Youtube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware Related Topics: levels of analytics types of analytics, business analytics types analytics tutorial analytics video, analytics basics descriptive analytics, predictive analytics prescriptive analytics diagnostic analytics, analytics types basics of analytics, Analytics Data Science Data Visualization Business Analytics analytics, data analysis business analytics data science stages of analytics data analytics big data machine learning Analytics For Beginners, Types Of Analytics
Chrissy Hofbeck isn't just a regular mom... she's a coooooool mom. Honestly, one of the coolest moms I've ever met. In the fall of 2017, after SIXTEEN years of applying, she had finally been accepted and was flown to Fiji for Season 35 of the hit reality show, Survivor. Chrissy didn't just show up to participate, either. She came to win. Her Survivor run ultimately ended in a second place finish, but along the way she went on to win the most immunity challenges of any woman in the show's history and was widely celebrated for the way she played the game. Outside of her Survivor appearance, Chrissy is a renowned actuary, public speaker, and as of September 8th, a first-time author. Her new book Winning Conditions: How to Achieve the Professional Success You Deserve by Managing the Details That Matter explores how people succeed not simply because they deliver a winning work product or idea, but also because they deliver their product or idea in a winning way. If you want to keep up with EVERYTHING Christine is doing, check out her site at christinehofbeck.com and follow along with her life over on Instagram at @therealchrissyhofbeck. If you're not already, be sure to follow along with everything I'm up to right here: Twitter - @ry3dunn SUBSCRIBE to the Strange Brains email newsletter. Sign up right here!
Starting a company or launching a new product in a highly competitive tech space is like going to war where knowing your enemy is imperative. With the pace at which technology is evolving, the need to keep a pulse on new players and solutions has never been greater. But scaling competitive analysis and measuring its success continues to remain a challenge for most B2B technology companies. Sales, product, and marketing leaders remain misaligned in answering the most fundamental question, “Why Us?” How can we fix that? Let’s hear what the experts say! Hi guys, this is your host Ashish Jain, and you are listening to the ALYNMENT podcast, where we aim to expose the day-to-day misalignments between product marketing and sales activities and discuss practical solutions to end this long-standing paradigm. In today’s episode, we talk with Sam Rinaldo, Hubspot’s Competitive Intelligence Analyst, about the incredible power of ‘competitive intelligence’ and how only some companies manage to get CI right. Sam served as an Intelligence officer in the US Marine Corps for 9 years before entering the B2B tech world. As a marine deployed in Afghanistan, he developed his passion for intelligence by leading and managing an organization of 300+ military and intelligence personnel. I bet heading a B2B competitive intelligence unit is rather simple compared to that! I am hoping today’s conversation uncovers some new tactics that help you break away from legacy tools to develop the 360-degree view of the competition to identify “what matters” to win the deal.
Series synopsis:Integration now. There is a society of masked, detached humans that exists in the future. A man finds an ancient object and realizes it is a journal from many years ago. As he reads on, the man realizes that his life had been manipulated by an artificial intelligence network that is now running the world. While the man learns how it all happened, he slowly discovers how to once again be a human.In Episode Four, ACorN & The Predictive Analysis, as One tackles the prospect of Children with the Other, his reading of the journal continues. To his astonishment, he discovers the traitor author may have started it all. In a moment of inspiration, One takes off The Mask...Hauntingly narrated by Eileen Stevens & Christopher Garetano. For more information on these talented individuals, visit https://www.eileenstevens.com/ and https://www.facebook.com/montauk.chroniclesMusic and audio engineering for The Mask executed by David Williams. Check out more of his wonderful creations here: http://williamsflutes.com/Pi_Rational Stories is a member of the Crawlspace Media family. For more information go to:https://pirational.com/ and http://crawlspace-media.com/
Artificial intelligence is one of those buzzwords that is underestimated and over rated at the same time. We experience the power of AI everyday while interacting with Alexa, while writing emails, while getting a delivery from Amazon, or while planning a trip. Yet we are sceptic about its viability and fearful of AI replacing humans. Today the focus of our discussion is to uncover some of the misalignments that impacts sales productivity and demystify the role of AI in enabling sales. The question is: Will AI replace sales professionals, or will it empower them? Can artificial intelligence be used to automate, predict and supercharge the way they work, or will it completely replace certain role in the sales cycle such as inside sales? On our show, we have Rob Kall, CEO and co-founder of Cien, an AI-powered tool that helps sales professionals be more productive and uncover areas of improvement. He is also a serial entrepreneur who has founded and sold many successful companies! Here are a few questions we tackle in this show:What is the most underestimated impact of misalignment in sales that most companies completely ignore?What are the core problems in sales teams?How can AI solve these problems?What are some must-have tools that every sales team should invest in?How can you build a culture or mindset that is more accepting of AI in sales?Sales is a Human2Human function - does AI take away that aspect?You can connect with Ashish Jain and Rob Kall on LinkedIn.
On today's episode, Greg and Brian are going to be talking about the recent mass shooting in Nova Scotia, Canada. Please keep in mind that we recorded this episode on the morning of April 22nd when the details of the case were still being reported. During the episode, we explain how to conduct real-time predictive analysis during an in-progress situation so that even during a chaotic event you can stay left of the next bang. We discuss the pre-event indicators leading up to the event as well as the indicators DURING the 12 hours shooting spree that you could use to determine likely intent, even as the events are unfolding.For basic background information on Anders Brevik: https://en.wikipedia.org/wiki/Anders_Behring_BreivikFollow us on FaceBook: https://www.facebook.com/HBPRA/Instagram: https://www.instagram.com/arcadia_cognerati/YouTube: https://www.youtube.com/channel/UC1S7E4hgSfLVWi4jGlKKqawWebsite: https://www.arcadiacognerati.comTwitter: https://twitter.com/A_CogneratiItunes: https://podcasts.apple.com/us/podcast/left-of-greg-podcast/id1448181902Spotify: https://open.spotify.com/show/1BgPDLkWp5iptfZOnXvSSEMusic from https://filmmusic.io "District Four" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/)Support the show (https://www.patreon.com/LeftOfGreg/)
In this special edition of ProgrammableWeb's Developers Rock Podcast from DC-Area API Meetup on Oct 1, 2019, Accrue Ltd. founder and CEO Benoit Brookens III talks about the concept of alternative data (data that at first seems unrelated to the trend you're analyzing) and how it can be used to improve predictive analysis. In his presentation, Brookens looks back at typhoons that were rated as 8 or higher and correlates their timing to movement in financial markets. To see the article that contains the full text transcript of this presentation go to: https://www.programmableweb.com/news/dc-area-api-meetup-how-alternative-data-api-can-be-used-to-improve-predictive-analysis/analysis/2020/01/14 ProgrammableWeb.com editor-in-chief David Berlind is the co-organizer of the DC-Area API Meetup. We're always looking for more attendees, speakers, and sponsors (the sponsors buy the pizza). For more information about the meetup, go to: https://www.meetup.com/DC-Web-API-User-Group/
TO TELL IS TO SELL - Als Führungskraft endlich richtig verstanden werden
Schön, dass du auch bei dieser Folge vom "TO TELL IS TO SELL - Podcast" dabei bist und somit in deine eigene Story mit Happy End investierst. Vielen Dank und Herzlich Willkommen! In der heutigen Folge stelle ich weitere Buchempfehlungen vor. Robert Harris nimmt uns in „Conclave“ mit in den Vatikan und in „Fear Index“ in die Welt der Hedge Fonds Algorithmen. Wer hinter die Kulissen schauen möchte, wird in „Big Data for Dummys“ und „Predictive Analysis for Dummys“ vielleicht schlauer. Schön, dass du dabei bist. __________ Melde dich jetzt zum kostenlosen "TO TELL IS TO SELL - Newsletter" an und erhalte regelmäßig die besten Tipps & Tricks für deine persönliche Story: https://veit-etzold.de/newsletter-anmelden/ __________ Hier findest du mehr Informationen rund um deine eigene Story und Strategie: Instagram: https://www.instagram.com/etzoldveit/ LinkedIn: https://www.linkedin.com/in/vetzold/ Facebook: https://www.facebook.com/veit.etzold/ Auf deinen Erfolg, dein Veit Etzold
Neil Seeman, Founder and CEO of RIWI Corp. (CSE:RIW), joins James Black to discuss how RIWI generates actionable insights via global trend tracking and predictive analysis, or "big data" (1:26), the company’s efforts to track consumer sentiment in China (5:34), and the challenges and opportunities that come with being a publicly-listed technology company (14:43). Listen until the end to hear how they use machine learning to evaluate the veracity of their data, for Neil’s thoughts on the new reality of investing in the tech world, and to learn more about the “spicy chicken problem.”
Stop driving your data analysis in the wrong direction! Get the latest scoop on predictive data techniques with analysis entrepreneur, author, co-founder, President and CTO of Squark, Judah Phillips. This episode talks all about the difference between leading and lagging business indicators, how to use predictive analysis to make better decisions for the future, and how AI is used as an augmenter to help us focus on the data and the outcomes that matter. Takeaways: Pay attention to your leading and lagging indicators. Familiarize yourself with the difference between the two and the types of data each one can give you. It's okay to use dashboards and KPIs but don't expect them to give you the best, most in-depth data. Descriptive and diagnostic analysis are backwards looking indicators and predictive and prescriptive analysis are more forward looking indicators. If you can predict, you can make better decisions. Keep your eyes fixed straight ahead in the right direction. There are two types of machine learning: supervised and unsupervised. Any technology can be used for bad, but AI will be an augmenter that helps us make better decisions to focus more on the data and outcomes that matter. Machine learning can help you identify where you need to clean up your data. Don't forget the ethics in AI. If you are in the AI industry it is important to communicate the positive benefits of AI because some people have a negative perspective of it. Links: LinkedIn: https://www.linkedin.com/in/judahphillips/ Twitter: @judah Website: https://squarkai.com/ Squark Free Trial: https://squarkai.com/free-trial/#.XL5brPZFzZs Email: judah@squarkai.com
This week I am talking with Brian Courtney the CEO of LifeWhere, a predictive analytics company that currently serving the residential market. What peaked my interest for this product was the applications to light commercial buildings and the fact that how made it's predictions is just way cool. I see this being a boon for the service market allowing them to provide more real value for their clients and more importantly enabling them to be proactive with their services. Show notes are available at www.hvac360.com/124 . Consider sharing this episode. Enjoy. See acast.com/privacy for privacy and opt-out information.
Justin is an experienced Software Engineer and Software Architect with over a decade of experience in product leadership positions. He has been a back-end developer and CTO of two start-ups before Pax Cultura Studios, one of which was exited within two years. He has also worked as a Developer and Architect in various engineering companies including Thales Systems Canada, and has held Process Analysis roles for medium sized corporations such as Harris Interactive Inc. In 2014 Justin returned to school to complete a Masters in Aerospace Engineering, where he published two journal papers, all related to the intersection of Reinforcement Learning, Machine Learning, Sensor Fusion and Predictive Analysis. He has lectured Algorithm Analysis at the University of Toronto. Talk to Justin about Robotics, Machine Learning, Software Design patterns and process analysis.
Donor Data Privacy – Where it is now and where it appears to be going In this episode, Birgit and Jim revisit the topic of Donor Data Privacy. They begin with the premise that just as nonprofit organizations believe that they ‘own’ the content of their websites and blogs, so donors believe that they ‘own’ […]
In this episode, we're going to discuss technology stacking, specifically software. Stacking is a way to organize your software planning in such a way that from the very beginning to further down the line, you will not have to rework major parts of your plan due to forgetting important steps. Let's go to the non-profit in start-up mode. A group of like-minded people working on an idea to better the world. When the organization doesn't have a 501c3 status yet and is not eligible for offerings via TechSoup, it is also not yet eligible for Google for non-profits, nor for Microsoft Office 365. We'll discuss a path for founders to think through to the end vision. Before one starts the journey and as a result keeping the redo effort to a minimum. It's not always possible that everything is a journey into the unknown, especially in technology, but there are some basic principles that apply when one begins to think about untangling your private information from your organization's business.
RARELY DO WE GET CONFIRMATION OF EVENTS IN REAL TIME AS WE ARE GETTING THEM NOW........THIS CAN PORTEND RADICAL CHANGE THAT COULD ENCOMPASS A WIDE SPECTRUM......WE DISCUSSION THE REORIENTATION OF MK-ULTRA INTO THE GAMING INDUSTRY.......BUT THE RESEARCH REVEALS SOMETHING EVEN MORE SINISTER THAT'S DIRECTLY CONNECTED TO AND MAY BE THE HEART OF PSYCHO-INTELPRO........ALL OF US NEED TO BE AWARE OF THIS AS WE ATTEMPT TO IDENTIFY WHO,WHAT AMD WHY........WE STARTED WITH "POKEMON-GO" AND MOVED TO "WE HAPPY FEW", BUT WE FOUND MUCH MORE THAT CONFIRMS OUR TITLING THIS FORUM "MK-21ST CENTURY-ULTRA".........THIS IS EXTREMELY DANGEROUS AND POINTS TO MUCH OF WHAT'S HAPPENING NOW AND WHAT WILL HAPPEN..........THIS IS WHAT WE MEAN WHEN WE SAY THE RESEARCH FROM A META-PHYSICAL STANDPOINT MAKES ONE PREDICTIVE AND THAT'S IMPORTANT BECAUSE THEY'RE USING "PREDICTIVE ANALYSIS".
RARELY DO WE GET CONFIRMATION OF EVENTS IN REAL TIME AS WE ARE GETTING THEM NOW........THIS CAN PORTEND RADICAL CHANGE THAT COULD ENCOMPASS A WIDE SPECTRUM......WE DISCUSSION THE REORIENTATION OF MK-ULTRA INTO THE GAMING INDUSTRY.......BUT THE RESEARCH REVEALS SOMETHING EVEN MORE SINISTER THAT'S DIRECTLY CONNECTED TO AND MAY BE THE HEART OF PSYCHO-INTELPRO........ALL OF US NEED TO BE AWARE OF THIS AS WE ATTEMPT TO IDENTIFY WHO,WHAT AMD WHY........WE STARTED WITH "POKEMON-GO" AND MOVED TO "WE HAPPY FEW", BUT WE FOUND MUCH MORE THAT CONFIRMS OUR TITLING THIS FORUM "MK-21ST CENTURY-ULTRA".........THIS IS EXTREMELY DANGEROUS AND POINTS TO MUCH OF WHAT'S HAPPENING NOW AND WHAT WILL HAPPEN..........THIS IS WHAT WE MEAN WHEN WE SAY THE RESEARCH FROM A META-PHYSICAL STANDPOINT MAKES ONE PREDICTIVE AND THAT'S IMPORTANT BECAUSE THEY'RE USING "PREDICTIVE ANALYSIS".
Are Workforce Predictions relevant to your organization? Listen in to HCM Talk Radio as Julian Challenger, Oracle Director, HCM Cloud Product Management and Charlie Berger, Oracle Senior Director, Product Management for Advanced Analytics and Data Mining discuss predictive analytics for Human Resources and how to understand Workforce Predictions and their relevance to your organization.
Een tweetal deepdives staan deze keer op het programma: Predictive Analysis met R Geospatial in HANA Link naar het boek waar Xavier zijn inspiratie vandaan heeft gehaald: Practical Data Science Cookbook We sluiten af met een rondje events waaronder de BI focusgroep sessie met Juergen Haupt en de Custom development focusgroep met een Fiori event. Bedankt voor het luisteren! Sven, Xavier, Jeroen en Ronald
Een Vodcast deze keer opgenomen met Google Hangouts. Een tweetal deepdives staan deze keer op het programma: Predictive Analysis met R Geospatial in HANA Link naar het boek waar Xavier zijn inspiratie vandaan heeft gehaald: Practical Data Science Cookbook We sluiten af met een rondje events waaronder de BI focusgroep sessie met Juergen Haupt en de Custom development focusgroep met een Fiori event. Bedankt voor het kijken! Sven, Xavier, Jeroen en Ronald
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