Podcasts about satalia

In this thought-provoking episode of The extra-Ordinary Leader, I sat down with Daniel Hulme, AI expert and CEO, to explore what leadership looks like in the age of artificial intelligence, data-driven decisions, and flatter, decentralised organisations.Together, we unravelled:Why extra-Ordinary leadership starts with getting out of the wayHow to use AI to surface team dynamics and friction pointsWhat digital twins are (and why your employees might love them)How to lead without hierarchyPractical ways to integrate AI into leadership, L&D, and performance managementThe power of frameworks (data → information → knowledge → understanding → wisdom)Why pressure should come from clients, not internal politicsDaniel also shares how his leadership philosophy has been influenced by Jean-Luc Picard, agile methods, and a desire to grow organisations that get faster and smarter with scale.If you're a leader looking for practical wisdom on staying future-fit, creating meaningful work environments, and navigating AI without losing the human touch—this one is for you.If something in this conversation resonated, I'd love to hear from you. Get in touch, and let's talk about how extra-Ordinary leadership could look in your team:https://www.dollywaddell.com/Find Out More about Satalia:https://www.satalia.com/about-us/Timestamps00:00 – Welcome02:00 – What extra-Ordinary leadership means to Daniel04:45 – Creating “fertile ground” and removing blockers06:30 – How AI is reshaping organisational design08:00 – The 3 ways AI is impacting business (productivity, supply chains, disruption)10:00 – How to apply AI to solve real business frictions12:30 – The Pyramid of Understanding (Data → Wisdom)14:45 – How AI helps predict and understand behaviour17:00 – The magic of assigning people to projects19:00 – Building digital twins of employees21:00 – Bridging the “intention-impact” gap with AI23:00 – Feedback, skill-mapping, and performance through AI26:00 – Can AI get it wrong?28:00 – The L&D world and using AI for behaviour change31:00 – Dolly's approach to team transformation & where AI can enhance it34:00 – When the data shows us what ego and culture try to hide36:00 – Starting digital twin implementation—what's step one?38:00 – Attachment styles & leadership dysfunctions40:00 – Why the “gardener” is the best kind of leader41:20 – Structured naming systems & the tech you actually need 43:00 – It's not a tech problem—it's a leadership one 45:00 – Why organisations reflect the personality of their leaders 47:00 – Are hierarchies really helping decision-making? 48:00 – Teal, Humanopathy & fluid teams 50:00 – Why pressure should come from clients, not internal structures 51:00 – The power of seven & ambidextrous leadership 53:00 – Dolly's final question: What item at home reflects extra-Ordinary leadership? 54:00 – Star Trek's Jean-Luc Picard and leadership lessons 54:30 – Wrap-up and thank you

Daniel Hulme, Chief AI Officer at WPP, discusses the transformative role of AI in marketing, leadership, and society. We explore the use of synthetic audiences, ethical considerations of AI, and the future of work influenced by AI technology. Key Takeaways:  The use and impact of synthetic audiences in marketing and content creation AI's potential to enhance human creativity, and future job implications due to AI advancements Overview of the current regulatory landscape, and ethical challenges regarding AI development Practical advice for engaging with and understanding AI technology Guest Bio: Daniel Hulme is a globally recognised AI expert. He is the Chief AI Officer at WPP, and the CEO at Satalia. With over 25 years experience in research and applied AI, Daniel is cited as one of the top ten Chief AI Officers in the world. Daniel is a serial TEDx speaker, has contributed to numerous books and articles on AI, and is a faculty member of SingularityU. He is passionate about how technology can help govern organisations and bring a positive impact to society. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

In the final episode of this series, Richard is joined by Daniel Hulme, CEO of Satalia and Chief AI Officer at WPP.  The pair discuss the evolution of AI, its impact on knowledge workers, and the future of machine consciousness. They dive into the importance of understanding AI's applications, the ethical considerations surrounding its development, and the potential risks and challenges that come with it.  Reflecting on our last episode, Richard asks Daniel all about the skepticism surrounding AI and the role of government in regulating its use, advocating for a proactive approach to harnessing AI's capabilities for societal benefit.  Daniel's links: LinkedIn: https://www.linkedin.com/in/danielhulme/ Website: https://www.satalia.com/

In Episode 44, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is re-joined by Daniel Hulme, Chief AI Officer at WPP and one of the world's leading AI authorities, where they discuss how the AI landscape has shifted since his first appearance on the show over 3 years ago, which includes; Selling Satalia to WPP Why it's become a successful acquisition Launching a research organisation to understand ‘machine consciousness'Why machine consciousness will be a very important question we'll face as a species over the coming years Why we should be looking at AI through applications not technologies How GenAI has given artificial intelligence a UI Why GenAI isn't the panacea of AIThe 3 things that you need to unlock value with GenAI Why you need differentiated talent to succeed with AI How optimisation algorithms will still give you the biggest bang for your buckWhy the most popular definition of AI is the weakest Why using human beings as the pinnacle of intelligence is not a good idea The 6 categories of applications of AI that resolve any business friction Why we should be tracking neuromorphic computing How GenAI has disrupted the media, advertising and marketing sectorsWhy LLMs are like intoxicated graduates Figuring out which problems to tackle that will truly disrupt your business Why the capability of the technology will outrun the speed of adoption The questions to ask to spot the genuine ‘AI Experts' A controversial view on AI ethics surrounding intent The 3 type of AI risks The 3 questions you need to ask yourself to deploy AI safely Why we may only be 10-20 years away from a superintelligence Why a superintelligence could be the biggest existential threat to humans if we don't focus on safety Why we have a duty of care to build conscious AIThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

This episode is a bit different from the usual, because we are interviewing Calum's boss. Calum says that mainly to tease him, because he thinks the word “boss” is a dirty word.His name is Daniel Hulme, and this is his second appearance on the podcast. He was one of our earliest guests, long ago, in episode 8. Back then, Daniel had just sold his AI consultancy, Satalia, to the advertising and media giant WPP. Today, he is Chief AI Officer at WPP, but he is joining us to talk about his new venture, Conscium - which describes itself as "the world's first applied AI consciousness research organisation".Conscium states that "our aim is to deepen our understanding of consciousness to pioneer efficient, intelligent, and safe AI that builds a better future for humanity".Also joining us is Ted Lappas, who is head of technology at Conscium, and he is also one of our illustrious former guests on the podcast.By way of full disclosure, Calum is CMO at Conscium, and David is on the Conscium advisory board.Selected follow-ups:ConsciumSataliaSix categories of application of AISix singularities - TEDx talk by Daniel HulmeProfessor Mark SolmsProfessor Karl FristonA recent paper on different theories of consciousness, by Patrick Butlin, Robert Long, et alProfessor Nicola ClaytonProfessor Jonathan BirchWPPThe Conscious AI meetupAI for organisations - Previous episode featuring Daniel HulmeHow to use GPT-4 yourself - Previous episode featuring Ted LappasMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

For the third and final episode of this sub-series of The Laws of Stan, which delves into Artificial Intelligence, I had the pleasure of interviewing Tommaso Urli, Senior Optimisation Scientist at Satlia, a company that merges the precision of machine learning with the power of optimisation to forge decision-making systems that dramatically increase operational efficiency. ⚙️In this episode, Tommaso recounts his professional journey as a mathematician, detailing the challenges he encounters while streamlining logistics for diverse companies.

Les Pronos de l'Obstacle du 1/3, avec Davide Satalia, Gilles Barbarin et Thomas Beaurain by Radio Balances

Écoutez ce nouveau numéro de Radio Balances, avec Guillaume Maupas, Directeur des Courses au Trot et l'entraîneur Davide Satalia, et nos chroniqueurs Sébastien Mortagne, Alexandre Decoopman, Gilles Curens, Sami Bouazza, Thomas Beaurain, Gilles Barbarin et Kevin Nicolle de ZEturf.

In Daniel's revisit interview (his first is episode 3), Daniel opens up his large brain to us again! He describes his journey of being bought by a bigger company. He founded Satalia, a now 120 person AI consultancy and it was recently bought by WPP and he is still CEO. Daniel struggled initially to understand how funding or a buyout was the right route. He is a big proponent of decentralisation and did not want to fit into a predictable role that Venture Capitalists wanted. According to Daniel, WPP was unlike other potential buyers and embraces Satalia's difference and wants to use it within their own organisation.

The last few episodes of our podcast have explored what GPT (generative pre-trained transformer) technology is and how it works, and also the call for a pause in the development of advanced AI. In this latest episode, Ted Lappas, a data scientist and academic, helps us to take a pragmatic turn - to understand what GPT technology can do for each of us individually.Ted is Assistant Professor at Athens University of Economics and Business, and he also works at Satalia, which was London's largest independent AI consultancy before it was acquired last year by the media giant WPP.Follow-up reading:https://satalia.com/https://www.linkedin.com/in/theodoros-lappas-82771451/Topics addressed in this episode include:*) The "GPT paradox": If GPT-4 is so good, why aren't more people using it to boost their effectiveness in their workplace?*) Concerns in some companies that data entered into GPTs will leak out and assist their competitors*) Uses of GPTs to create or manipulate text, and to help developers to understand new code*) GPTs as "brains" that lack the "limbs" that would make them truly useful*) GPT capabilities are being augmented via plug-ins that access sites like Expedia, Instacart, or Zapier*) Agent-based systems such as AutoGPT and AgentGPT that utilise GPTs to break down tasks into steps and then carry out these steps*) Comparison with the boost given to Apple iPhone adoption by the launch, one year later, of the iOS App Store*) Ted's use of GPT-4 in his role as a meta-reviewer for papers submitted to an academic conference - with Ted becoming an orchestrator more than a writer*) The learning curve is easier for vanilla GPTs than for agent systems that use GPTs*) GPTs are currently more suited to low-end writing than to high-end writing, but are expected to move up the value chain*) Ways to configure a GPT so that it can reproduce the quality level or textual style of a specific writer*) Calum's use of GPT-4 in his side-project as a travel writer*) Ways to stop GPTs inventing false anecdotes*) Some users of GPTs will lose all faith in them due to just a single hallucination*) Teaching GPTs to say "I don't know" or to state their level of confidence about claims they make*) Creating an embedding space search engine*) The case for gaining a working knowledge of the programming language Python*) The growth of technology-explainer videos on TikTok and Instagram*) "Explain this to me like I'm ten years old"*) The way to learn more about GPTs is to use them in a meaningful project*) Learning about GPTs such as DALL-E or Midjourney that generate not text but images*) Uses of GPTs for inpainting - blending new features into an image*) The advantages of open source tools, such as those available on Hugging Face*) Images will be largely solved in 2023; 2024 will be the year for video*) An appeal to "dive in, the sooner the better"Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

This episode of Dubai Works is in partnership with Dubai Lynx, MENA's largest gathering in the creative marketing community. We start off the episode speaking to Simon Cook, the CEO at Lions, as he explains the role in which the festival plays in providing regional creatives recognition, access and credibility. Throughout this episode of Dubai Works, we also speak to Vidya Manmohan, founder and Chief Creative Officer at V4Good and Daniel Hulme the CEO Satalia, and their participation at the event.

Sunday, 26 February 2023   Now when they had preached the word in Perga, they went down to Attalia. Acts 14:25   The previous verse refers to the apostles passing through Pisidia and coming to Pamphylia. With that short note to cover whatever happened in that area, it next says, “Now when they had preached the word in Perga.”   This is something that they may or may not have done when passing through the first time. In Acts 13, it said –   “Now when Paul and his party set sail from Paphos, they came to Perga in Pamphylia; and John, departing from them, returned to Jerusalem. 14 But when they departed from Perga, they came to Antioch in Pisidia, and went into the synagogue on the Sabbath day and sat down.” Acts 13:13, 14   Scholars either ignore the reason why this area was not previously evangelized, or the comments are generally in line with the thought that they could tell there was no visible fruit and so they simply ignored the area. But the context of the passage may explain itself. One cannot know if there is “visible fruit” unless he first goes forth and preaches.   The most likely reason is that they did, in fact, preach to the people in Perga, but because there was no synagogue mentioned, it means the only preaching that occurred was to Gentiles. John Mark may have not appreciated this and got bent out of shape and departed. Or it could be that without any synagogue, they decided to go directly to where a known synagogue was, which was in Perga. If this was so, then maybe the opposite occurred. John Mark may have said, “Why aren't we preaching here instead of heading off to Antioch?” Not appreciating the situation, he packed up and left.   Either way, it is in Perga that John Mark became disaffected. With that remembered, it now notes definitively that this time they did preach in Perga. With that noted, it next says, “they went down to Attalia.”   Perga was not on the coast. Rather, it was upriver. The location of Attalia is described by Cambridge –   “A seaport of Pamphylia, at the mouth of the river Catarrhactes. ... The Apostles had sailed, as they came from Paphos, directly to Perga, which they reached by coming some way up the river Cestrus. Now they go by land from Perga to the seacoast at Attalia, where there was more likelihood of finding a vessel in which they could sail into Syria.”   Of the city itself, it is next described by Albert Barnes –   “Attalus Philadelphus, king of Pergamus, whose dominions extended from the northwestern corner of Asia Miner to the Sea of Pamphylia, had built this city in a convenient position for commanding the trade of Syria or Egypt. When Alexander the Great passed this way, no such city was in existence; but since the days of the kings of Pergamus, who inherited a fragment of his vast empire, Attalia has always existed and flourished, retaining the name of the monarch who built it. Its ancient site is not now certainly known. ... It is probable that it is the modern Satalia.”   This is the last stop of the missionary journey before returning home. Nothing is recorded of evangelizing here. It may simply have been used as a transit city to return home, at least as far as Luke's records indicated.   Life application: Nothing is said of evangelization on the way from Perga to Attalia, nor of the time spent in Attalia. Nothing will be said of the trip from Attalia back to their home station. But this does not mean that the apostles didn't preach to the people. Just as with Perga where nothing was recorded in Acts 13, to say that no evangelization took place is what is known as an argument from silence.   This is a logical fallacy where the failure of the source (in this case, Luke) to mention a given fact, or facts, becomes the ground for an inference. Such an inference is then turned into a conclusion that the supposed fact is untrue, or the supposed event never occurred.   In this case, the fallacy would be, “Because nothing is spoken of concerning evangelization of the people in Attalia and on the ship back home, the apostles failed to tell any of those people about Jesus.” The only facts we have are what Luke has recorded. Paul and Barnabas may have had many converts in Attalia, and it may be that the entire ship converted to Christianity on the way home. Luke is recording what the Holy Spirit inspired him to write. That is what we need. Everything else is silent and we cannot add to the historical record by making unfounded claims either way.   The point is that just because nothing is recorded concerning such things, we cannot use that silence to say, “I don't need to tell people about Jesus at a particular time because Paul and Barnabas decided to not speak about Jesus at a particular time.”   We need to be willing to speak about Jesus all the time. Whether on a ship, on a bus, or at a stop awaiting the next part of the journey, we should look for an opportunity to open our mouths and speak. Let us do so, to the glory of God who has given us mouths to speak with. We are the redeemed of the Lord. Let us speak out the good news!   Most glorious Heavenly Father, we have been saved by the precious blood of Christ. May we not fail to tell others of this wonderful gift of healing and hope. Give us hearts to speak forth Your saving gospel message to any and all that we encounter on the path of life. To Your glory, we pray. Amen.

Sunday, 26 February 2023   Now when they had preached the word in Perga, they went down to Attalia. Acts 14:25   The previous verse refers to the apostles passing through Pisidia and coming to Pamphylia. With that short note to cover whatever happened in that area, it next says, “Now when they had preached the word in Perga.”   This is something that they may or may not have done when passing through the first time. In Acts 13, it said –   “Now when Paul and his party set sail from Paphos, they came to Perga in Pamphylia; and John, departing from them, returned to Jerusalem. 14 But when they departed from Perga, they came to Antioch in Pisidia, and went into the synagogue on the Sabbath day and sat down.” Acts 13:13, 14   Scholars either ignore the reason why this area was not previously evangelized, or the comments are generally in line with the thought that they could tell there was no visible fruit and so they simply ignored the area. But the context of the passage may explain itself. One cannot know if there is “visible fruit” unless he first goes forth and preaches.   The most likely reason is that they did, in fact, preach to the people in Perga, but because there was no synagogue mentioned, it means the only preaching that occurred was to Gentiles. John Mark may have not appreciated this and got bent out of shape and departed. Or it could be that without any synagogue, they decided to go directly to where a known synagogue was, which was in Perga. If this was so, then maybe the opposite occurred. John Mark may have said, “Why aren't we preaching here instead of heading off to Antioch?” Not appreciating the situation, he packed up and left.   Either way, it is in Perga that John Mark became disaffected. With that remembered, it now notes definitively that this time they did preach in Perga. With that noted, it next says, “they went down to Attalia.”   Perga was not on the coast. Rather, it was upriver. The location of Attalia is described by Cambridge –   “A seaport of Pamphylia, at the mouth of the river Catarrhactes. ... The Apostles had sailed, as they came from Paphos, directly to Perga, which they reached by coming some way up the river Cestrus. Now they go by land from Perga to the seacoast at Attalia, where there was more likelihood of finding a vessel in which they could sail into Syria.”   Of the city itself, it is next described by Albert Barnes –   “Attalus Philadelphus, king of Pergamus, whose dominions extended from the northwestern corner of Asia Miner to the Sea of Pamphylia, had built this city in a convenient position for commanding the trade of Syria or Egypt. When Alexander the Great passed this way, no such city was in existence; but since the days of the kings of Pergamus, who inherited a fragment of his vast empire, Attalia has always existed and flourished, retaining the name of the monarch who built it. Its ancient site is not now certainly known. ... It is probable that it is the modern Satalia.”   This is the last stop of the missionary journey before returning home. Nothing is recorded of evangelizing here. It may simply have been used as a transit city to return home, at least as far as Luke's records indicated.   Life application: Nothing is said of evangelization on the way from Perga to Attalia, nor of the time spent in Attalia. Nothing will be said of the trip from Attalia back to their home station. But this does not mean that the apostles didn't preach to the people. Just as with Perga where nothing was recorded in Acts 13, to say that no evangelization took place is what is known as an argument from silence.   This is a logical fallacy where the failure of the source (in this case, Luke) to mention a given fact, or facts, becomes the ground for an inference. Such an inference is then turned into a conclusion that the supposed fact is untrue, or the supposed event never occurred.   In this case, the fallacy would be, “Because nothing is spoken of concerning evangelization of the people in Attalia and on the ship back home, the apostles failed to tell any of those people about Jesus.” The only facts we have are what Luke has recorded. Paul and Barnabas may have had many converts in Attalia, and it may be that the entire ship converted to Christianity on the way home. Luke is recording what the Holy Spirit inspired him to write. That is what we need. Everything else is silent and we cannot add to the historical record by making unfounded claims either way.   The point is that just because nothing is recorded concerning such things, we cannot use that silence to say, “I don't need to tell people about Jesus at a particular time because Paul and Barnabas decided to not speak about Jesus at a particular time.”   We need to be willing to speak about Jesus all the time. Whether on a ship, on a bus, or at a stop awaiting the next part of the journey, we should look for an opportunity to open our mouths and speak. Let us do so, to the glory of God who has given us mouths to speak with. We are the redeemed of the Lord. Let us speak out the good news!   Most glorious Heavenly Father, we have been saved by the precious blood of Christ. May we not fail to tell others of this wonderful gift of healing and hope. Give us hearts to speak forth Your saving gospel message to any and all that we encounter on the path of life. To Your glory, we pray. Amen.

Daniel Hulme, CEO @ SATALIA, Chief AI Officer @ WPP, Investor, Speaker @ TEDx & SingularityU, EIR @ UCL, Lecturer @ LSE, Co-founder @ Faculty, Advisor @ CogX & Syntropy - phew. After that build up, once you listen, I think you'll agree, Daniel doesn't disappoint. Pragmatic, realistic, experienced and humane, this snappy interview covers more ground in 40 minutes than you'll get in a week in English politics (maybe not quite that much but close!). We cover: 1. Rethinking what AI is actually useful for 2. Challenging the noise around AI ethics 3. Macro problems Contact Daniel via linkedin.com/in/danielhulme Websites: satalia.com (Company) hulme.ai (Personal) Phone: +447773765097 (Mobile) Email: daniel@satalia.com Twitter: TheSolveEngine IM: daniel@satalia.com (Skype) -- If you'd like to be a guest on #TheInquisitorPodcast let's explore producing an episode together - https://calendly.com/marcuscauchi/theinquisitor-podcast-2023 To explore training and coaching for you and your team, https://calendly.com/marcuscauchi/let-s-explore-coaching-training  

For episode 63, we return to the topic of AI ethics via my conversation with Daniel Hulme, the CEO of Satalia. That business describes itself as a different type of Artificial Intelligence company and in fact a different type of company altogether. Its stated aim is to solve industries' hardest problems by building AI solutions that utilise state-of-the-art ideas and thinking from academia. Plus, they say they're building a new operating system for how a company can be run, grounded in deep psychological and philosophical theory. In addition to his role at Satalia, Daniel is the Chief AI Officer for the global advertising agency WPP. Plus, he comes to these roles following nearly 12 years at University College London, including being their Entrepreneur in Residence. So, there is plenty of innovative thinking in this conversation, as well as philosophical musing about the purpose of not just AI but work in general. During our fascinating chat, we explore Daniel's career journey and lack of internal dialogue. We revisit the benefits of hiring neurodiverse data scientists and the characteristics to seek in such talent. Plus we debate the purpose of businesses and what motivates us about work. I hope you find it inspires your own musings and perhaps insights into what you want to achieve with your gifts and working life. Plus, it's the first time I've had a parrot as a guest too!

What do we really mean when we call things artificially intelligent? Is AI significant progress or a significant threat? And when does SkyNet some online? My guest is Daniel Hulme. Daniel was a guest lecturer on my Master's program back in 2019 and by some distance, the most impactful certainly for me. The reason is that he covered in his talk the very foggy topic of artificial intelligence, and specifically how it's understood and approached by business. I firmly believe that one of the things going really wrong in digital transformation is a lack of consistent unified definitions for all of the trends and technologies that drive disruptive change. So much money, time and effort have been spent on these things that everyone at the boardroom table seems to have a different definition for. Daniel is the CEO of a business called Satalia, which focuses on developing workable AI solutions for businesses around the world. It was also incidentally recently acquired by WPP, which is the same network that bought my agency. Dr Daniel Hulme's Singularity University profile · MikeStopforth.com · Connect with Mike on LinkedIn · Follow Mike on Twitter · 48h crisis communication consultancy

What do we really mean when we call things artificially intelligent? Is AI significant progress or a significant threat? And when does SkyNet some online? My guest is Daniel Hulme. Daniel was a guest lecturer on my Master's program back in 2019 and by some distance, the most impactful certainly for me. The reason is that he covered in his talk the very foggy topic of artificial intelligence, and specifically how it's understood and approached by business. I firmly believe that one of the things going really wrong in digital transformation is a lack of consistent unified definitions for all of the trends and technologies that drive disruptive change. So much money, time and effort have been spent on these things that everyone at the boardroom table seems to have a different definition for. Daniel is the CEO of a business called Satalia, which focuses on developing workable AI solutions for businesses around the world. It was also incidentally recently acquired by WPP, which is the same network that bought my agency. Dr Daniel Hulme's Singularity University profile

According to Daniel, despite this general acknowledgement of its importance, many companies are struggling to deploy AI. Furthermore, he talks about What AI is, the most use cases and new applications for AI that are already being used by companies like Tesco and PwC. Satalia is on a mission to make innovation accessible and free for all. --- Send in a voice message: https://anchor.fm/bettertech/message

This episode features Daniel Hulme, founder of Satalia and chief AI officer at WPP. What is AI good at today? And how can organisations increase the likelihood of deploying AI successfully?02.55 What is AI good at today?03.25 Deep learning isn't yet being widely used in companies. Executives are wary of self-adapting systems04.15 Six categories of AI deployment today04.20 1. Automation. Using “if … then …” statements04.50 2. Generative AI, like Dall-E05.15 3. Humanisation, like DeepFake technology and natural language models05.40 4. Machine learning to extract insights from data – finding correlations that humans could not06.05 5. Complex decision making, aka operations research, or optimisation. “Companies don't have ML problems, they have decision problems”06.25 6. Augmenting humans physically or cognitively06.50 Aren't the tech giants using true AI systems in their operations?07.15 A/B testing is a simple form of adaptation. Google A/B tested the colours of their logo08 .00 Complex adaptive systems with many moving parts are much riskier. If they go wrong, huge damage can occur08.30 CTOs demand consistency from operational systems, and can't tolerate the mistakes that are essential to learning09.25 Can't the mistakes be made in simulated environments?10.20 Elon Musk says simulating the world is not how to develop self-driving cars10.45 Companies undergoing digital transformations are building ERPs, which are “glorified databases”11.20 The idea is to develop digital twins, which enable them to ask “what if…” questions11.30 The coming confluence of three digital twins: workflow, workforce, and administrative processes12.18 Why don't supermarkets offer digital twins to their customers? They're coming14.55 People often think that creating a data lake and adding a system like Tableau on top is deploying AI15.15 Even if you give humans better insights they often don't make better decisions15.20 Data scientists are not equipped to address opportunities in all 6 of the categories listed earlier15.40 Companies should start by identifying and then prioritising the frictions in their organisations16.10 Some companies are taking on “tech debt” which they will have to unwind in five years16.25 Why aren't large process industry companies boasting about massive revenue improvements or cost savings?17.00 To make those decisions you need the right data, and top optimisation skills. That's unusual17.55 Companies ask for “quick wins” but that is an oxymoron18.10 We do see project ROIs of 200%, but most projects fail due to under-investment, or mis-understandings19.00 Don't start by just collecting data. The example of a low-cost airline which collected data about everything except rivals' pricing20.15 Humans usually do know where the signals are22.25 Some of Daniel's favourite AI projects23.00 Tesco's last-mile delivery system, which saves 20m delivery miles a year24.00 Solving PwC's consultant allocation problem radically improved many lives25.10 In the next decade there will be a move away from pure ML towards ML+ optimisation26.35 How these systems have been applied to Satalia28.10 Daniel has thought a lot about how AI can enable companies to be very adaptable, and allocate decisions well29.00 Satalia staff used to make recommendations for their own salaries, and their colleagues would make AI-weighted votes29.30 The goal is to scale this approach not just across WPP, but across the planet30.35 Heads of HR in WPP operating companies love the ideaDaniel's entry on Wikipedia: https://en.wikipedia.org/wiki/Daniel_J._HulmeAudio engineering by Alexander Chace.Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

Working in academia, the public and private sectors, Daniel is a leading expert in artificial intelligence as well as its applications and the social, commercial, economic and ethical implications. In a world where many believe access to more and more data will lead to ever better decision-making, he looks at what AI really is, as well as identifying the future challenges and opportunities for AI. He also asks how organisations need to change their structure and how these ideas could scale to a planet. Daniel will argue why we need to embrace these emerging technologies and will discuss the philosophical and ethical issues surrounding them. 

Can understanding someone's digital footprint really make it easier for it to predict what they'll be doing using AI? Today's guest is Daniel Hulme. Daniel has a PhD in Computational Complexity and works in the field of AI, applied technology, and ethics. He is the CEO and founder of Satalia, a Tedx speaker, and educator at Singularity University.  Show Notes: [0:50] - Daniel has already been interested in how humans behave and describes how he got into AI. [2:05] - AI gets grouped into technology but there are a lot of different types of AI. [3:50] - The ultimate goal of AI is to have computers make decisions and learn from the decisions, but that's not commonplace right now. [5:31] - Someone's digital footprint can be used to learn a lot about them. [6:51] - The challenges that we are facing with AI are not ethical challenges, they are safety issues. [8:29] - AI is super complex and is becoming more difficult to test. [10:03] - AI's learning isn't usually the problem. It's the framework put in place. [11:36] - Machine learning is a generalization of the world which can create biases. [14:26] - Building explainable systems is incredibly important. [16:20] - Daniel gives an example of how AI can use data but why human decisions are still important. [18:16] - It's much more cost effective to have simple solutions than complex ones. [20:35] - What is the effect of building a super intelligence? We don't know. Daniel explains the singularities involved. [21:45] - These technologies are replacing people in completing some tasks. This is arguably a good or bad thing, depending on how you think about it. [23:47] - There are different safeguards against each of these singularities. [24:56] - Daniel shares what he thinks will be the solution. [28:07] - Who is going to make this “glorious future”? [29:36] - As AI takes the roles of employees in some companies, Daniel believes it will balance out again. [32:01] - There are jobs that may be impacted more than others. [33:46] - Something else that Daniel thinks may happen is a new economic structure. [35:12] - The highest cost for many organizations is human labor. [36:42] - There's a possible paradigm shift that will have to change the way we think about work and money. [39:30] - Daniel is optimistic that we're headed in the right direction. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Satalia Website Daniel Hulme on Twitter Daniel Hulme on LinkedIn

Ecoutez ce nouveau numéro de Radio Balances 100% Grand Steeple enregistré au Gentleman d'Epsom sur l'hippodrome de Saint-Cloud avec nos invités, Nathalie Desoutter, Davide Satalia, Pierre Boulard et... Bonne écoute

In this episode of Over the Air: IoT, Connected Devices, & the Journey, Ryan Prosser, CEO of Very is joined by David Hulme, CEO of Satalia. They discuss artificial intelligence, its application, implications and variations. They delve into how artificial intelligence connects with both IoT, and business success.

Our guest today is Youri Moscovic, Co-Founder and CEO of Prediko, an AI startup which is doing smart inventory planning for e-commerce businesses. In our conversation, we start by exploring the differences and similarities between AI and Operational Research (OR), a field that Youri specialised in during his master at the London School of Economics. We then focus on his first job at Satalia, an enterprise AI firm where he started as an intern but quickly became the Head of Solutions after a couple of years only. Youri talks about how he managed the development of AI and OR algorithms to help businesses like DFS or Tesco save millions of pounds. He also gives advice on how to grow and quickly progress inside a company. We finally dig into the world of AI startups. Youri explains why he created Prediko and how he uses machine learning to help small and medium e-commerce brands better plan their inventory. We talk about the difficulties behind building a startup and discuss the tradeoff between deep learning and more traditional algorithms for business applications. Throughout the conversation, Youri also shares various advice on how to advance in your career, how to become a good Data Scientist and how to build your own AI startup.  

Lara is an innovative HR leader who is working in a fast growing AI consultancy organisation. We explored their approach to people which is open, thoughtful and participative. We talked about how they have used both design thinking and UX as a way to create better people management interventions. This inclusive co creation approach is both new and refreshing it also offers much stimulus for HR leaders to explore. If you want to think about how HR can operate and add value, this is the podcast for you.

In Episode 41 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Daniel Hulme, TedX Speaker and CEO at Satalia, where they have a truly fascinating conversation about the current Artificial Intelligence landscape and what the future holds, which includes: His TedX experience Why organisations don't have ML/Data problems, they have decision problems Asking machines to resemble human behaviour isn't “intelligence” Why he hasn't seen a single complex system in production The true paradigm of AI is systems that can adapt themselves in production Why there are less than a handful of companies in the world that can do this at enterprise level How AI has been wrongly synonymised with technology The concept of digital twins Why humans are trying to solve problems that they're not capable of solving Why services companies are the walking dead The mistakes that most organisations make with AI Why you shouldn't be hiring Data Scientists The scaremongering around AI Ethics Why you shouldn't invest in Data Lakes if you're serious about AI Why the term “quick win” is an oxymoron The PESTEL singularity The goal of democratising innovation by open sourcing

Coffee Sessions #29 with Jet Basrawi of Satalia, Culture and Architecture in MLOps. //Bio Jet started his career in technology as a game designer but became interested in programming. He found he loved it. It was endlessly challenging and deeply enjoyable "Flow" activity. It was also nice to be in demand and earn a living. In the last several years, Jet been passionate about DevOps as a key strategic practice. About a year ago, he came into the AI world and it is a great place to be for someone like him. The challenges of MLOps and all the things surrounding AI delivery is a great space to work in. At about the time Jet got into AI the MLops community began, and it was a great experience to come on the journey with Demetrios who was uncovering topics in parallel to him. It was uncanny that each week Demetrios would run a meetup that dealt with exactly the topics he has been trying to reason about. Jet is very interested in culture and architecture and looking forward to exploring this subject in conversation. //Takeaways Insight into the role of culture and architecture in MLOps. --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/ Connect with Jet on LinkedIn: https://www.linkedin.com/in/jet-basrawi-4b9ab43/ Timestamps: [00:00] Introduction to Jet Basrawi [01:24] Jet's take on MLOps [02:00] "MLOps - the real Kung fu's in the future" Jet [02:35] Jet's different opinion on "Tooling is the biggest piece in MLOps". [04:23] MLOps is a way of life. It's a lifestyle. It's not just tooling. [04:38] Why do you have to move over to the cultural side and where feel things fail culturally when it comes to machine learning? [05:47] What you refer to as an orthodox perspective on DevOps and how that place out in your perspective on MLOps? [06:37] Why do you believe that the separate terminology is coming about and do you believe that this is ultimately harmful to organizations to have this confusion or do you think things should be simplified? [09:05] As soon as you go down and you're not looking at the big picture. You go down one level and they divert completely, is that your thought too? [12:30] How do you go about educating yourself and then figuring out how to articulate MLOps or constitutes in your organization? [16:16] How to do things differently? What are some of your preferred tactics? How to encourage culture change? [19:02] "Management is NOT Leadership" [20:13] Why are people stuck in their agile approach? [23:57] Someone's trying to pick something up for the 1st time and then put it into production, how dangerous that can be? [25:53] Accepting failure [29:11] What are some of your principles that helped you communicate to the developers? [35:33] "It has to dumb down." [37:43] Annotation [39:37] "Patterntastic" [41:24] "MLOps is a people problem." [43:50] Sprint are adequate for machine learning? [47:03] "Software development is a social activity" [48:03] "We are all juniors in this field." //Show Notes https://www.youtube.com/watch?v=J1WpAJRt3rg Charlie You https://youtu.be/J36xHc05z-M Manoj https://www.youtube.com/watch?v=vH7UFZZdja8&t=5s Lak design patterns https://www.youtube.com/watch?v=9g4deV1uNZo&t=1s flavios talk https://continuousdelivery.com/implementing/culture/ westrum culture https://www.youtube.com/watch?v=Y4H8dW7Ium8&feature=youtu.be&t=109 Jez Humble

Season One Finale! Charles Radclyffe, founder of EthicsGrade and sponsors of Are You A Robot? joins us to discuss his highlights of Season One and what to expect in Season Two. What have been your highlights? Let us know in our Slack community! This episode is brought to you by EthicsGrade, an ESG Ratings agency with a particular focus on Technology Governance, especially AI Ethics. You can find more information about EthicsGrade here: https://www.ethicsgrade.io/You can also follow EthicsGrade on Twitter (@EthicsGrade) and LinkedIn: https://bit.ly/2JCiQOg Follow Charles on Twitter @dataphilosopher and LinkedIn: https://bit.ly/3lcpuHT Follow Demetrios on Twitter @Dpbrinkm and LinkedIn: https://bit.ly/2TPrA5w Connect with Us: Join our Slack channel for more conversation about the big ethics issues that rise from AI: https://bit.ly/3jVdNov Follow Are You A Robot? on Twitter and Instagram: @AreYouARobotPod Check out our website: https://www.areyouarobot.co.uk/ Resources mentioned in this episode: · Upcoming episode with Merve Hickok: https://bit.ly/3nZW8hM · Merve's Medium article: https://bit.ly/3pY49G1 · Design choices in Track and Trace: https://bbc.in/3q4zhnm · Satalia: https://www.satalia.com/ · Past episode with Sébastien Krier: https://bit.ly/369b9rx · Sébastien's paper: https://bit.ly/3q2ZvXd · Past episode with Dr Rob Wortham: https://bit.ly/2V7gUQ8 · Are You A Robot? Slack community: https://bit.ly/2Jd4aFd · A-Level algorithm: https://bbc.in/2J4LtUu · Teens in AI: https://www.teensinai.com/ · Past episode with Megan Ma: https://bit.ly/33iUPTn · Past episode with Louis Byrd: https://bit.ly/2V2sQCQ · Conversational AI Group: https://cai.group/ · Louis Byrd's paper: https://bit.ly/3fA0tWa · Awari: https://goodwim.com/awariio · Charles' Forbes article on racist chatbots: https://bit.ly/2KDgCyt · Past episode with Harriet Moore: https://bit.ly/2J9FFc4 · ‘Coded Bias': https://imdb.to/39jDvkM · ‘The Social Dilemma' documentary: https://bit.ly/2KIR0jX · Upcoming episode with Paul MacDonnell: https://bit.ly/3nZWUeG · Past episode with Emily Wenger: https://bit.ly/2KK5RKX · Fawkes: https://bit.ly/2JiGwa1 · Zachary Loeb's review of ‘The Social Dilemma': https://bit.ly/2V2QVtl · Upcoming episode with Dan Jeffries: https://bit.ly/36apfc4 · Upcoming episode with Jason Lewis: https://bit.ly/33iVoMZ · Upcoming episode with Robbie Stamp: https://bit.ly/2HIGpo2

Meeting the challenge of remote working and learning is the key focus of this year’s EdTech summit, The Learnovation Summit, which takes place from tomorrow (October 13) to Thursday (October 15). In online learning’s biggest year ever, the leading global annual event will be held virtually this year – from October 13 – 15 – with the theme, ‘Living and Learning in a Changing Workplace’. The Learnovation Summit is organised by The Learnovate Centre, a leading learning technology research centre in Trinity College Dublin. Funded by Enterprise Ireland and IDA Ireland, The Learnovate Centre is an industry-led technology centre made up of expert researchers using emerging technology to help transform the lives of learners in the workplace, schools, at third level and in the home. Ahead of Learnovation starting tomorrow, Learnovate Centre Director Nessa McEniff said: “The world of education and workplace learning was already transforming at an unstoppable pace with Artificial Intelligence, machine learning and gamification helping to prepare us for the workplaces of the future. But Covid-19 has accelerated all those changes as the entire globe was collectively plunged into a new world where workplaces and education went virtual. Learnovation is bringing Irish and international entrepreneurs and innovators in the EdTech sector together to explore how we can transform learning experiences for employees, students and customers in online’s biggest year.” One of the keynote speakers at Learnovation is Olivier Crouzet from ‘42’ a third-level IT college which has no teachers, classrooms or lectures and where the students learn through projects (which have no set deadlines) and evaluate their own peers. 42 charges no fees and there are no qualification requirements to become a student. Mr Crouzet will be speaking on Day 2 of The Learnovation Summit 2020. Some of the other keynote speakers include Daniel Hulme of Satalia who will speak about AI and the Future of Work, Gilly Salmon of Education Alchemists on Seizing the Pivot for New Learning, Abi Williams of Udemy who will speak about Driving Engaged and Productive Teams in a Virtual World and Bob Mosher of APPLY Synergies on Workflow Learning. After the live event, attendees gain exclusive access to a ‘boxset’ with video presentations and speaker slides to watch in your own time. Learnovation 2020’s virtual summit will feature 3 hours x 3 days with international keynotes, expert panels, Q&A sessions, interactive chat and real-time polling. On Tuesday, October 13 and Wednesday, October 14, the event runs from 9.45 am – 1 pm. On Thursday, October 15, it runs from 1.45 pm – 5 pm. For more information or to register, visit www.learnovation.ie.

In this episode of the Codurance Talks podcast, José E. Rodríguez Huerta  has an interesting conversation with Laura Weis, Strategy Consultant at Satalia, a world-leading enterprise AI company. Laura enlightened us tackling organisational design from a human and social capital perspective, considering her wide experience in psychology and network science. This episode covers a very significant topic and Laura and Jose dove on why a human-centred organisational design makes companies improve their decision making processes at many levels. Along the talk, they covered important aspects such as: Understanding people's dynamics for design organisation. Companies working structure and how it has changed over time. Challenges and opportunities of new organisation models. How to approach different problems and ways of working with network analytics. Tools to analyse the digital transformation impact and processing of data. How to measure information on different human aspects. As we can see, translating analytics results into the company's reality, allows us to make the most positive changes for businesses.

In this episode of the Codurance Talks podcast, José E. Rodríguez Huerta  chats to Riccardo Volpato, Data Scientist and Software Engineer at Satalia, a world-leading enterprise AI company.    The fascinating conversation covered both the academic and business applications of Machine Learning, AI and Data Science with Riccardo helping to demystify what can be a complex topic to understand, especially for those that are just starting out in their journey. Areas discussed during this fun and entertaining conversation included: The history of AI and Machine Learning The challenges around implementing Machine Learning compared to other enterprise solutions Building integrity into data sets The challenges that unintended changes can bring to algorithm results eg. Covid-19 Real-world practical applications of Machine Learning from ice cream sales to autonomous cars! Understanding abstractions Issues around ethics and bias in the algorithm  Trends in Machine Learning, including Vision & Language, Forecasting & Modeling, Application within Science and Modeling Real World Phenomena Recommendations on how to get started

Today’s podcast takes a look at AI and machine learning and the significant potential they offer for automating processes, reducing costs and human error in the food industry. Joining hose Stefan Gates for this fascinating look inside the world of AI is Daniel Hulme, Founder & CEO of Satalia who gives us insight into the application of AI in the food industry and the opportunities that it offers. About Daniel Hulme Daniel Hulme is the CEO of Satalia, a London-based company that provides Artificial Intelligence (AI) solutions to solve industry’s hardest problems. He is also the Director of UCL’s Business Analytics MSc, applying AI to solve business, governmental and social problems. Hulme specialises in philosophy, technology, innovation and organisational design. He is passionate about how technology can be used to govern organisations and bring positive social impact. Hulme’s work outlines a framework for understanding data-driven decision making. He understands the capabilities of AI but also the future challenges and opportunities for AI, and how and why we need to embrace these emerging technologies. Daniel Hulme’s expertise also spans both the philosophical and ethical issues surrounding these emerging technologies. He has a Masters and Doctorate in AI from UCL, lectures on topics in Computer Science and Business, and is passionate about how technology can be used to govern organisations and bring positive social impact. Dr Daniel Hulme has advisory and executive positions across companies and governments. He holds an international Kauffman Global Entrepreneur Scholarship and actively promotes purposeful. He is a popular public speaker specialising in the topics of Artificial Intelligence, Blockchain, Decentralisation, Philosophy, Technology, Innovation and Organisational Design. He is a serial speaker for Google and TEDx, and is a faculty member of Singularity University (https://su.org/about/). About Satalia Satalia is an AI-driven organization developing its own products that optimize industries such as transport, retail and hospitality. Satalia’s tools and solutions are being used by names such as Tesco, BBC, PwC, DFS, to name a few. Satalia has implemented a unique organizational structure and culture that fosters autonomous decision making, self-sustainability, curiosity and exploration. Satalia has acquired Data Dog, UAB (currently Satalia Lithuania) in 2019, though the two companies have formed a deep partnership since 2014. Essentially – Satalia came up with the algorithm for Tesco’s delivery logistics to work out the quickest and most efficient delivery journey.

As the Covid-19 pandemic forces companies to rethink their workflows and structures, Azeem Azhar speaks with Daniel Hulme, CEO of Satalia, whose company runs as a decentralized swarm. There are no managers, no strict job roles, and no vacation limits. Yet, the company delivers artificial intelligence solutions to its customers. How does it work?

Daniel isn’t joking when he talks about scaling impact to the size of a planet. He’s spent the last two years thinking about Satalia’s purpose and crafting the best possible values for humanity. He’s studied religious texts as well as great philosophers to inform his leadership. He’s developed a company that has no managers and no KPIs. He describes Satalia as a ‘swarm-like’ organisation.You might think this sounds like chaos. Well, no, not according to Daniel.He leads by enabling people, facilitating the company to be agile in a changing environment and developing a culture that preserves employees’ dignity, giving them the right balance between authority and accountability. He’s completely committed to a continuous journey of improvement.

What is artificial intelligence? And how will it affect the event industry in the future?With the help of two esteemed guests, Penguins’ Production Manager, Luke Thomas, aims to answer all the burning questions you have about AI.Luke is joined by Daniel Hulme, CEO of Applied AI company, Satalia and Callum Gill, Head of Insight and Innovation at DRPG. The panel discuss three key topics:- What is AI?- Emotionally engaging with AI- The security and management of AI dataOur three industry experts debunk myths, put fears to bed and offer an insight into the future of AI.#PenguinsEventChat

bedigital bring you conversations with established tech leaders influencing UK business today. From the challenges of sustainable growth, through to continuous innovation and everything in-between. These are the behind-the-scene stories and personal anecdotes of the leaders who are turning concepts into reality.

In this episode, we talk to Daniel Hulme, CEO of Satalia, on the progress of AI and how it's being implemented today. We discuss how organisations can more effectively use AI with optimisation, and where this technology is being applied today. We also cover the debate around the questionable future of AI, and in particular the potential risks posed by humanlike artificial intelligence.

This episode features Daniel Hulme. Daniel is the CEO of Satalia, a London-based company that provides Artificial Intelligence solutions to solve industries hardest problems. He is also the Director of UCL's Business Analytics MSc, applying Artificial Intelligence to solve business, governmental and social problems. He is a serial speaker for Google and TEDx, and is a faculty member of Singularity University. Both Daniel and I will be speaking at the CX Tech conference in London on October 12. Go to cxtech.events for more information. Daniel talks about Big Data, AI, and how humans and intelligent systems can work together to improve CX. www.satalia.com cxtech.events

Daniel, a British expert in AI and machine learning, founded Satalia, one of the world’s first companies that brought algorithms from the academic world, into practical application at organizations. He has a Masters and Doctorate in Artificial Intelligence from UCL, lecturing in Computer Science and Business, and spoken everywhere from TED to the Singularity University. We caught up in London to discuss the latest developments in AI, the new kinds of people that algorithmic organizations will need to hire, and his own experiments in designing a management model without traditional KPIs and hierarchies.

Daniel, a British expert in AI and machine learning, founded Satalia, one of the world’s first companies that brought algorithms from the academic world, into practical application at organizations. He has a Masters and Doctorate in Artificial Intelligence from UCL, lecturing in Computer Science and Business, and spoken everywhere from TED to the Singularity University. We caught up in London to discuss the latest developments in AI, the new kinds of people that algorithmic organizations will need to hire, and his own experiments in designing a management model without traditional KPIs and hierarchies.