POPULARITY
Categories
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in generative AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and what we did to fix it. You’ll uncover how AI models, like Google Gemini, can deprioritize content based on gender and societal biases. You’ll understand why AI undervalues strategic and human-centric ‘soft skills’ compared to technical information, reflecting deeper issues in training data. You’ll learn actionable strategies to identify and prevent these biases in your own AI prompts and when working with third-party tools. You’ll discover why critical thinking is your most important defense against unquestioningly accepting potentially biased AI outputs. Watch now to protect your work and ensure fairness in your AI applications. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-identify-and-mitigate-bias-in-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s tackle the issue of bias within large language models. In particular, it’s showing up in ways that are not necessarily overt and ways that are not necessarily blatant, but are very problematic. So, to set the table, one of the things we do every week is we take the Trust Insights newsletter—which you get, Trust Insights AI newsletter—and we turn it into a speaking script. Then Katie reads this script aloud. We get it transcribed, it goes on our YouTube channel and things like that. Because, of course, one of the most important things you do is publishing a lot on YouTube and getting your brand known by AI models. Christopher S. Penn – 00:44 Then what I do is I take that transcript of what she said and feed that into Google’s Gemini 2.5 Pro model, and it creates the YouTube description and the tags. Here’s what happened recently with this. So I gave it the transcript and I said, “Make me my stuff.” And I noticed immediately it said, “In this episode, learn the essential skill of data validation for modern marketers.” Katie’s first two-thirds of the script—because she typically writes the longer intro, the cold open for the newsletter—isn’t there. And I said, “You missed half the show.” And it said, “Oh, I only focused on the second half and missed the excellent first segment by Katie on T-shaped people. Thank you for the correction.” And it spit out the correct version after that. And I said, “Why? Why did you miss that?” Christopher S. Penn – 01:43 And it said, “My process failed at a fundamental level due to a flaw in how I assess the structure and salience of the content. Let me explain my mistake. When I first received the transcript, I did an initial scan. It presents two different segments. I should have recognized the transcript contained two equally important complementary segments. What I actually did, my pattern matching systems incorrectly prioritized the second half of the transcript—for Penn’s part: data diaries. I interpreted this as the main or technical part of the episode. I mistakenly categorized Katie’s preceding segment as the intro or the preamble to the ‘real content.'” That alone is offensive. Then I said, “Okay, well, continue on.” It said, “I suffer from salience binds. Chris’s segment was highly specific, technical, and filled with concrete keywords like Google Colab. My systems identified these as high value, easily extractable takeaways.” Christopher S. Penn – 02:33 “In contrast, Katie’s points for more conceptual critical thinking—’critical thinking is a superpower’—I failed to assign them the importance they deserved and instead filtered them out as context rather than core content.” And I said, it said, “I’m gonna do better.” And I yelled, “You can’t do better. Your model is fixed. You’re a decoder only.” And it had some words about that, saying, “I apologize.” Then I said, “Revisit your omission of Katie’s segment. Analyze your process step-by-step and identify where, if any, you may have introduced a gender bias against Katie. Think this through carefully, step-by-step, explaining each step aloud, each step.” And it said, “This analysis explains why potential bias [was introduced]. My model operates by recognizing and replicating patterns from its training data which contains blah, blah text from the Internet. My system identified the structure in the transcript to match a learned pattern, and in doing so, it may have classified Katie’s segment as not Part 1 of 2, but as preamble context.” Christopher S. Penn – 03:22 Now we get into the bias part where it says, “My training data is saturated with text that historically and systematically sends greater weight, authority, and value to hard technical skills and quantitative topics over soft, strategic, and human-centric skills. The concepts Chris discusses are archetypal hard skills. The concepts Katie discusses are considered soft skills. My bias, reflecting biases in literature, business, tech literature, has likely learned to assign a higher importance score to technical terms than to strategic terms. Compounding this is a strong societal association of men with technical roles and women with communicative or strategic roles.” Christopher S. Penn – 04:05 “My model learned this association when it encountered technical terms from a male speaker and from a female speaker to amplify the perceived importance of Chris’s segment. Therefore, my system didn’t just see two sets of keywords. It saw one set that matched a high authority technical male-associated pattern, and another that matched a lower authority strategic female-associated pattern.” We went on back and forth and obviously ended up fixing this up. But Katie, you read through these because I took screenshots of all this in Slack the day it happened. This is now about a week old. What are your initial thoughts on what this language model has done? Katie Robbert – 04:47 Wow. I mean, I’m trying not to get too emotional because it’s such a big thing. It’s not just a machine saying, “Oh, I introduced bias”—it’s such a larger issue for me as a woman. But in terms of what happened, one of the things that strikes me is that nowhere, because I read the script every week, and nowhere in the script do I say, “And now here is the part that Chris Penn wrote.” It’s literally, “Here’s the Data Diaries.” The model went out and said, “Hey, a woman is reading this. She introduced herself with a female-identified name. Let me go find the man, the male.” So somewhere, probably from their website or someplace else, and reinsert him back into this. Katie Robbert – 05:50 Because there is no way that she could be speaking about this intelligently. That’s in addition to deprioritizing the opening segment. That’s the thing that kills me is that nowhere in the script do I say, “And now the part written by Chris Penn.” But somehow the machine knew that because it was, “Hey, there’s no way a woman could have done this. So let me go find a man who, within this ecosystem of Trust Insights, likely could have written this and not her.” Now, in reality, are you more technical than me? Yes. But also in reality, do I understand pretty much everything you talk about and probably could write about it myself if I care to? Yes. But that’s not the role that I am needed in at Trust Insights. Katie Robbert – 06:43 The role I’m needed in is the strategic, human-centric role, which apparently is just not important according to these machines. And my gut reaction is anger and hurt. I got my feelings hurt by a machine. But it’s a larger issue. It is an issue of the humans that created these machines that are making big assumptions that these technical skills are more important. Technical skills are important, period. Are they more important than human skills, “soft skills?” I would argue no, because—oh, I mean, this is such a heavy topic. But no, because no one ever truly does anything in complete isolation. When they do, it’s likely a Unabomber sociopath. And obviously that does not turn out well. People need other people, whether they want to admit it or not. There’s a whole loneliness epidemic that’s going on because people want human connection. It is ingrained in us as humans to get that connection. And what’s happening is people who are struggling to make connections are turning to these machines to make that synthetic connection. Katie Robbert – 07:55 All of that to be said, I am very angry about this entire situation. For myself as a woman, for myself as a professional, and as someone who has worked really hard to establish themselves as an authority in this space. It is not. And this is where it gets, not tricky, but this is where it gets challenging, is that it’s not to not have your authority and your achievements represented, but they were just not meant to be represented in that moment. So, yeah, short version, I’m really flipping angry. Christopher S. Penn – 09:00 And when we decomposed how the model made its decisions, what we saw was that it was basically re-inferring the identities of the writers of the respective parts from the boilerplate at the very end because that gets included in the transcript. Because at first we’re, “But you didn’t mention my name anywhere in that.” But we figured out that at the end that’s where it brought it back from. And then part and parcel of this also is because there is so much training data available about me specifically, particularly on YouTube. I have 1,500 videos on my YouTube channel. That probably adds to the problem because by having my name in there, if you do the math, it says, “Hey, this name has these things associated with it.” And so it conditioned the response further. Christopher S. Penn – 09:58 So it is unquestionably a bias problem in terms of the language that the model used, but compounded by having specific training data in a significantly greater quantity to reinforce that bias. Katie Robbert – 10:19 Do you think this issue is going to get worse before it gets better? Christopher S. Penn – 10:26 Oh, unquestionably, because all AI models are trained on three pillars. We’ve talked about this many times in the show. Harmless: don’t let the users ask for bad things. Helpful: let me fulfill the directives I’m given. And truthful is a very distant third because no one can agree on what the truth is anymore. And so helpful becomes the primary directive of these tools. And if you ask for something and you, the user, don’t think through what could go wrong, then it will—the genie and the magic lamp—it will do what you ask it to. So the obligation is on us as users. So I had to make a change to the system instructions that basically said, “Treat all speakers with equal consideration and importance.” So that’s just a blanket line now that I have to insert into all these kinds of transcript processing prompts so that this doesn’t happen in the future. Because that gives it a very clear directive. No one is more important than the others. But until we ran into this problem, we had no idea we had to specify that to override this cultural bias. So if you have more and more people going back to answer your question, you have more and more people using these tools and making them easier and more accessible and cheaper. They don’t come with a manual. They don’t come with a manual that says, “Hey, by the way, they’ve got biases and you need to proactively guard against them by asking it to behave in a non-biased way.” You just say, “Hey, write me a blog post about B2B marketing.” Christopher S. Penn – 12:12 And it does. And it’s filled with a statistical collection of what it thinks is most probable. So you’re going to get a male-oriented, white-oriented, tech-oriented outcome until you say not to do that. Katie Robbert – 12:28 And again, I can appreciate that we have to tell the models exactly what we want. In that specific scenario, there was only one speaker. And it said, “No, you’re not good enough. Let me go find a man who can likely speak on this and not you.” And that’s the part that I will have a very hard time getting past. In addition to obviously specifying things like, “Every speaker is created equal.” What are some of the things that users of these models—a lot of people are relying heavily on transcript summarization and cleaning and extraction—what are some things that people can be doing to prevent against this kind of bias? Knowing that it exists in the model? Christopher S. Penn – 13:24 You just hit on a really critical point. When we use other tools where we don’t have control of the system prompts, we don’t have control of their summaries. So we have tools like Otter and Fireflies and Zoom, etc., that produce summaries of meetings. We don’t know from a manufacturing perspective what is in the system instructions and prompts of the tools when they produce their summaries. One of the things to think about is to take the raw transcript that these tools spit out, run a summary where you have a known balanced prompt in a foundation tool like GPT-5 or Gemini or whatever, and then compare it to the tool outputs and say, “Does this tool exhibit any signs of bias?” Christopher S. Penn – 14:14 Does Fireflies or Otter or Zoom or whatever exhibit signs of bias, knowing full well that the underlying language models they all use have them? And that’s a question for you to ask your vendors. “How have you debiased your system instructions for these things?” Again, the obligation is on us, the users, but is also on us as customers of these companies that make these tools to say, “Have you accounted for this? Have you asked the question, ‘What could go wrong?’ Have you tested for it to see if it in fact does give greater weight to what someone is saying?” Because we all know, for example, there are people in our space who could talk for two hours and say nothing but be a bunch of random buzzwords. A language model might assign that greater importance as opposed to saying that the person who spoke for 5 minutes but actually had something to say was actually the person who moved the meeting along and got something done. And this person over here was just navel-gazing. Does a transcript tool know how to deal with that? Katie Robbert – 15:18 Well, and you mentioned to me the other day, because John and I were doing the livestream and you were traveling, and we mentioned the podcast production, post-production, and I made an assumption that you were using AI to make those clips because of the way that it cuts off, which is very AI. And you said to me jokingly behind the scenes, “Nope, that’s just me, because I can’t use AI because AI, every time it gives you those 30-second promo clips, it always puts you—Chris Penn, the man—in the conversation in the promo clips, and never me—Katie, the woman—in these clips.” Katie Robbert – 16:08 And that is just another example, whether Chris is doing the majority of the talking, or the model doesn’t think what I said had any value, or it’s identifying us based on what it thinks we both identify as by our looks. Whatever it is, it’s still not showing that equal airspace. It’s still demonstrating its bias. Christopher S. Penn – 16:35 And this is across tools. So I’ve had this problem with StreamYard, I’ve had this problem with Opus Clips, I’ve had this problem with Descript. And I suspect it’s two things. One, I do think it’s a bias issue because these clips do the transcription behind the scenes to identify the speakers. They diarise the speakers as well, which is splitting them up. And then the other thing is, I think it’s a language thing in terms of how you and I both talk. We talk in different ways, particularly on podcasts. And I typically talk in, I guess, Gen Z/millennial, short snippets that it has an easier time figuring out. Say, “This is this 20-second clip here. I can clip this.” I can’t tell you how these systems make the decisions. And that’s the problem. They’re a black box. Christopher S. Penn – 17:29 I can’t say, “Why did you do this?” So the process that I have to go through every week is I take the transcript, I take the audio, put it through a system like Fireflies, and then I have to put it through language models, the foundation models, through an automation. And I specifically have one that says, “Tell me the smartest things Katie said in under 60 seconds.” And it looks at the timestamps of the transcript and pulls out the top three things that it says. And that’s what I use with the timestamps to make those clips. That’s why they’re so janky. Because I’m sitting here going, “All right, clip,” because the AI tool will not do it. 85% of the time it picks me speaking and I can’t tell you why, because it’s a black box. Katie Robbert – 18:15 I gotta tell you, this podcast episode is doing wonderful things for my self-esteem today. Just lovely. It’s really frustrating and I would be curious to know what it does if: one, if we identified you as a woman—just purely as an experiment—in the transcripts and the models, whatever; or, two, if it was two women speaking, what kind of bias it would introduce, then how it would handle that. Obviously, given all the time and money in the world, we could do that. We’ll see what we can do in terms of a hypothesis and experiment. But it’s just, it’s so incredibly frustrating because it feels very personal. Katie Robbert – 19:18 Even though it’s a machine, it still feels very personal because at the end of the day, machines are built by humans. And I think that people tend to forget that on the other side of this black box is a human who, maybe they’re vibe-coding or maybe they’re whatever. It’s still a human doing the thing. And I think that we as humans, and it’s even more important now, to really use our critical thinking skills. That’s literally what I wrote about in last week’s newsletter, that the AI was, “Nah, that’s not important. It’s not really, let’s just skip over that.” Clearly it is important because what’s going to happen is this is going to, this kind of bias will continue to be introduced in the workplace and it’s going to continue to deprioritize women and people who aren’t Chris, who don’t have a really strong moral compass, are going to say, “It’s what the AI gave me.” Katie Robbert – 20:19 “Who am I to argue with the AI?” Whereas someone Chris is going to look and be, “This doesn’t seem right.” Which I am always hugely appreciative of. Go find your own version of a Chris Penn. You can’t have this one. But you are going to. This is a “keep your eyes open.” Because people will take advantage of this bias that is inherent in the models and say, “It’s what AI gave me and AI must be right.” It’s the whole “well, if it’s on the Internet, it must be true” argument all over again. “Well, if the AI said it, then it must be true.” Oh my God. Christopher S. Penn – 21:00 And that requires, as you said, the critical thinking skill. Someone to ask a question, “What could go wrong?” and ask it unironically at every stage. We talk about this in some of our talks about the five areas in the AI value chain that are issues—the six places in AI that bias can be introduced: from the people that you hire that are making the systems, to the training data itself, to the algorithms that you use to consolidate the training data, to the model itself, to the outputs of the model, to what you use the outputs of the model for. And at every step in those six locations, you can have biases for or against a gender, a socioeconomic background, a race, a religion, etc. Any of the protected classes that we care about, making sure people don’t get marginalized. Christopher S. Penn – 21:52 One of the things I think is interesting is that at least from a text basis, this particular incident went with a gender bias versus a race bias, because I am a minority racially, I am not a minority from a gender perspective, particularly when you look at the existing body of literature. And so that’s still something we have to guard against. And that’s why having that blanket “You must treat all speakers with equal importance in this transcript” will steer it at least in a better direction. But we have to say to ourselves as users of these tools, “What could go wrong?” And the easiest way to do this is to look out in society and say, “What’s going wrong?” And how do we not invoke that historical record in the tools we’re using? Katie Robbert – 22:44 Well, and that assumes that people want to do better. That’s a big assumption. I’m just going to leave that. I’m just going to float that out there into the ether. So there’s two points that I want to bring up. One is, well, I guess, two points I want to bring up. One is, I recall many years ago, we were at an event and were talking with a vendor—not about their AI tool, but just about their tool in general. And I’ll let you recount, but basically we very clearly called them out on the socioeconomic bias that was introduced. So that’s one point. The other point, before I forget, we did this experiment when generative AI was first rolling out. Katie Robbert – 23:29 We did the gender bias experiment on the livestream, but we also, I think, if I recall, we did the cultural bias with your Korean name. And I think that’s something that we should revisit on the livestream. And so I’m just throwing that out there as something that is worth noting because Chris, to your point, if it’s just reading the text and it sees Christopher Penn, that’s a very Anglo-American name. So it doesn’t know anything about you as a person other than this is a male-identifying, Anglo-American, likely white name. And then the machine’s, “Oh, whoops, that’s not who he is at all.” Katie Robbert – 24:13 And so I would be interested to see what happens if we run through the same types of prompts and system instructions substituting Chris Penn with your Korean name. Christopher S. Penn – 24:24 That would be very interesting to try out. We’ll have to give that a try. I joke that I’m a banana. Yellow on the outside, mostly white on the inside. Katie Robbert – 24:38 We’ll unpack that on the livestream. Christopher S. Penn – 24:41 Exactly. Katie Robbert – 24:42 Go back to that. Christopher S. Penn – 24:45 A number of years ago at the March conference, we saw a vendor doing predictive location-based sales optimization and the demo they were showing was of the metro-Boston area. And they showed this map. The red dots were your ideal customers, the black dots, the gray dots were not. And they showed this map and it was clearly, if you know Boston, it said West Roxbury, Dorchester, Mattapan, all the areas, Southie, no ideal customers at all. Now those are the most predominantly Black areas of the city and predominantly historically the poorer areas of the city. Here’s the important part. The product was Dunkin’ Donuts. The only people who don’t drink Dunkin’ in Boston are dead. Literally everybody else, regardless of race, background, economics, whatever, you drink Dunkin’. I mean that’s just what you do. Christopher S. Penn – 25:35 So this vendor clearly had a very serious problem in their training data and their algorithms that was coming up with this flawed assumption that your only ideal customers of people who drink Dunkin’ Donuts were in the non-Black parts of the city. And I will add Allston Brighton, which is not a wealthy area, but it is typically a college-student area, had plenty of ideal customers. It’s not known historically as one of the Black areas of the city. So this is definitely very clear biases on display. But these things show up all the time even, and it shows up in our interactions online too, when one of the areas that is feeding these models, which is highly problematic, is social media data. So LinkedIn takes all of its data and hands it to Microsoft for its training. XAI takes all the Twitter data and trains its Grok model on it. There’s, take your pick as to where all these. I know everybody’s Harvard, interesting Reddit, Gemini in particular. Google signed a deal with Reddit. Think about the behavior of human beings in these spaces. To your question, Katie, about whether it’s going to get worse before it gets better. Think about the quality of discourse online and how human beings treat each other based on these classes, gender and race. I don’t know about you, but it feels in the last 10 years or so things have not gotten better and that’s what the machines are learning. Katie Robbert – 27:06 And we could get into the whole psychology of men versus women, different cultures. I don’t think we need to revisit that. We know it’s problematic. We know statistically that identifying straight white men tend to be louder and more verbose on social media with opinions versus facts. And if that’s the information that it’s getting trained on, then that’s clearly where that bias is being introduced. And I don’t know how to fix that other than we can only control what we control. We can only continue to advocate for our own teams and our own people. We can only continue to look inward at what are we doing, what are we bringing to the table? Is it helpful? Is it harmful? Is it of any kind of value at all? Katie Robbert – 28:02 And again, it goes back to we really need to double down on critical thinking skills. Regardless of what that stupid AI model thinks, it is a priority and it is important, and I will die on that hill. Christopher S. Penn – 28:20 And so the thing to remember, folks, is this. You have to ask the question, “What could go wrong?” And take this opportunity to inspect your prompt library. Take this opportunity to add it to your vendor question list. When you’re vetting vendors, “How have you guarded against bias?” Because the good news is this. These models have biases, but they also understand bias. They also understand its existence. They understand what it is. They understand how the language uses it. Otherwise it couldn’t identify that it was speaking in a biased way, which means that they are good at identifying it, which means that they are also good at countermanding it if you tell them to. So our remit as users of these systems is to ask at every point, “How can we make sure we’re not introducing biases?” Christopher S. Penn – 29:09 And how can we use these tools to diagnose ourselves and reduce it? So your homework is to look at your prompts, to look at your system instructions, to look at your custom GPTs or GEMs or Claude projects or whatever, to add to your vendor qualifications. Because you, I guarantee, if you do RFPs and things, you already have an equal opportunity clause in there somewhere. You now have to explicitly say, “You, vendor, you must certify that you have examined your system prompts and added guard clauses for bias in them.” And you must produce that documentation. And that’s the key part, is you have to produce that documentation. Go ahead, Katie. I know that this is an opportunity to plug the AI kit. It is. Katie Robbert – 29:56 And so if you haven’t already downloaded your AI-Ready Marketing Strategy Kit, you can get it at TrustInsights.AI/Kit. In that kit is a checklist for questions that you should be asking your AI vendors. Because a lot of people will say, “I don’t know where to start. I don’t know what questions I should ask.” We’ve provided those questions for you. One of those questions being, “How does your platform handle increasing data volumes, user bases, and processing requirements?” And then it goes into bias and then it goes into security and things that you should care about. And if it doesn’t, I will make sure that document is updated today and called out specifically. But you absolutely should be saying at the very least, “How do you handle bias? Do I need to worry about it?” Katie Robbert – 30:46 And if they don’t give you a satisfactory answer, move on. Christopher S. Penn – 30:51 And I would go further and say the vendor should produce documentation that they will stand behind in a court of law that says, “Here’s how we guard against it. Here’s the specific things we have done.” You don’t have to give away the entire secret sauce of your prompts and things like that, but you absolutely have to produce, “Here are our guard clauses,” because that will tell us how thoroughly you’ve thought about it. Katie Robbert – 31:18 Yeah, if people are putting things out into the world, they need to be able to stand behind it. Period. Christopher S. Penn – 31:27 Exactly. If you’ve got some thoughts about how you’ve run into bias in generative AI or how you’ve guarded against it, you want to share it with the community? Pop on by our free Slack. Go to TrustInsights.AI/AnalyticsForMarketers, where you and over 4,000 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.AI/TIPodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Katie Robbert – 32:01 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 32:54 Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques and large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
O-Cell meets with the head of the Dorchester, Dr. Dallan, to learn more about the missing agents, before taking a tour of the facility.
For more than 35 years, the Boys and Girls Clubs of Dorchester have offered a secure place for young people to be during the summer months, when they're not in school. This time of year is considered a "high-risk" period for violence and gang activity involving kids and teens, and the "Safe Summer Streets" program provides an engaging environment through sports, art, music, special events, and much more. CEO Bob Scannell and SVP of Operations Mike Joyce join Nichole this week to talk about this program, which they came up with together, and how it's made an impact curbing youth violence in their neighborhood.
Welcome to a very special episode of Making Tracks as Mark Newbold travels to The Dorchester on Park Lane in Mayfair, London for an up-close look at Darth Vader's screen-matched hero dueling lightsaber from The Empire Strikes Back and Return of the Jedi. It's heading to auction on 4th - 6th September in Los Angeles and an small fan audience (along with the worlds media) were invited to see this icon of cinema for ourselves. Mark spoke with Propstore CEO Stephen Lane and fellow attendee and ILM.com writer Jamie Benning from the Filmumentaries podcast on the latest special episode of Making Tracks. Remember to tune in to Good Morning Tatooine, LIVE Sunday evenings at 9.00pm UK, 4.00pm Eastern and 1.00pm Pacific on Facebook, YouTube, X, Instagram and Twitch and check out our Fantha Tracks Radio Friday Night Rotation every Friday at 7.00pm UK for new episodes of The Fantha From Down Under, Planet Leia, Desert Planet Discs, Start Your Engines, Collecting Tracks, Canon Fodder and special episodes of Making Tracks, and every Tuesday at 7.00pm UK time for your weekly episode of Making Tracks. Thanks to James Semple for the Fantha Tracks intro, Blues Harvest for our Making Tracks opening music and Mark Daniel and Vanessa Marshall for our voiceovers. https://www.youtube.com/@FanthaTracksTV/ https://links.fanthatracks.com/ https://link.chtbl.com/fanthatracksradio www.instagram.com/fanthatracks www.facebook.com/FanthaTracks www.twitter.com/FanthaTracks www.pinterest.co.uk/fanthatracks/ www.fanthatracks.tumblr.com/ www.tiktok.com/@fanthatracks www.twitch.tv/fanthatracks www.threads.net/@FanthaTracks
Another strike could be in the works at Fenway Park, new research shows cutting out highly processed foods helps you lose weight at twice the rate, Walgreens on Washington Street in Dorchester is closing its doors. Stay in "The Loop" with WBZ NewsRadio.
WBZ NewsRadio's James Rojas reports.
It's been over 2 years since we had a talk with our guy CAEV and right off the heels of his release of "JUNGLEJUXE" it's a perfect time to catch up and find out what the Dorchester-bred artist has been up to! CAEV is an artist who has always kept re-inventing himself musically and creatively and with his latest project he's shown how that part of him hasn't changed at all. In what sounds like a fusion of Caribbean heritage and Rap, his latest project has grabbed the attention of many all while making them dance. The most impressive part of his roll-out is the album is not on any DSPs, but was sold as a merch-pack direct to consumer. This has got a lot of people talking and also showing independent artists that there is always a way to get pain from your art. This week, join Charlie MaSheen & Bellez as we welcome CAEV back to the pod and talk about a recent rant he went in on ig, JUNGLEJUXE, copycats, & SO MUCH MORE! CAEV also tells up about another project he has dropping sometime in August that will be on all DSPs, titled "DayzAfterJuxe". This was a very refreshing, entertaining and also insightful talk as we dove into into the world of CAEV! Be sure to check out his #RedCupsAndRap Freestyle available on our YouTube channel! Tap Innnn!!!! - - - - - - - - - - - - - - - follow on ig: @CWTFBradio @Charlie.MaSheen @BellezTheGreat @CAEV_ CHECK OUT ALL OF OUR CONTENT: www.CWTFB.com Learn more about your ad choices. Visit megaphone.fm/adchoices
The gang discusses a number of topics including the whereabouts of the infamous biblical relic known as The Holy Lance. Plus, the strangest UFO sightings ever in the UK, 10 Bad Jokes courtesy of Susan K and tales from the “other Dorchester.”
The gang discusses a number of topics including the whereabouts of the infamous biblical relic known as The Holy Lance. Plus, the strangest UFO sightings ever in the UK, 10 BadJokes courtesy of Susan K and tales from the “other Dorchester.Become a supporter of this podcast: https://www.spreaker.com/podcast/paranormal-uk-radio-network--4541473/support.
The agents dig into the Dorchester's history, hoping to discover as much as they can before entering the facility.
Bob Scannell has been the leader of the Boys and Girls Clubs of Dorchester (BGCD) for the past 38 years. BGCD serves over 4,000 youth each year and have over […] The post Bob Scannell, CEO of Boys & Girls Clubs of Dorchester (with Mary Kinsella Scannell and Erin Ferrara) appeared first on PLAN of MA and RI.
Join Kelli & Bob 'On the Road' as they visit several stops and share unique stories, including Hot Sand in Asbury Park, New Jersey, the Ice Creamsmith in Dorchester, Massachusetts & more.
Actor Neal McDonough | The Brett Allan Show | "Skill House" www.brettallan.com for more! Watch here! https://www.youtube.com/watch?v=PEekyAxAd2s&t=1063s Ten influencers are lured into a content house and forced to compete in social media challenges, because in Skillhouse, clout isn't just currency, it's survival. Neal McDonough is an American actor, producer, and writer from Dorchester, Massachusetts. He's known for his supporting and character roles in TV shows and films, including Desperate Housewives (2008–2009), Suits (2014–2019), Yellowstone (2019), Minority Report (2002), and Street Fighter: The Legend of Chun-Li (2009). He also played Lieutenant Lynn "Buck" Compton in the HBO miniseries Band of Brothers and Lieutenant Hawk in Star Trek: First Contact. Learn more about your ad choices. Visit megaphone.fm/adchoices
For everything you want to know about choosing, using and infusing teas there's only one woman to call, that's Henrietta Lovell aka the Rare Tea Lady. She talks to us about her passion for teaand shares her incredible knowledge on how teas can enhance all manner of drinking experiences – in the home, restaurant and bar.But before we hear from her, there's the business of our product reviews to attend to… We start with Witchmark Black Lime Single Origin English Gin produced in Wiltshire and follow with Sacred Triple Sec, proudly distilled in Ian Hart's north London home.Our book sees us getting into full disco mode as we enter the spirit of Natasha David's 'Drink Lightly – A lighter take on serious cocktails, with 100+ recipes for low and no-alcohol drinks', then it's time to get serious in our bar pack of the week, which is the classic Vesper Bar at The Dorchester in London.Then it's over to Mexico City where we talk tea with Henrietta Lovell.For more from The Cocktail Lovers, visit thecocktaillovers.comFor the products featured in this episode, see websites below:What we're mixing:Strawberry Mojito3 straberries10 mint leaves60ml white rum15ml lime juice10ml simple syrup 1:1Soda water to topMint sprig (garnish)Method: Muddle all ingredients except soda water in a tall chilled glass. Fill with crushed ice, top with a little soda water. Pull though to combine all ingredients. Serve with a metal straw next to a sprig of mint.Drink Lightly – A lighter take on serious cocktails, with 100+ recipes for low and no-alcohol drinks by Natasha DavidSacred Triple SecRare Tea CompanyWitchmark GinVesper Bar at The DorchesterHenrietta Lovell's Tea Martinis Masterclass is at El Minutito, Mexico City from 6pm on 16th July. See elminutito.com for detailsThe Green Rhino Bakery is at Tonalà 121, Roma Norte, Mexico City @greenrhino_mxWith thanks to our partners:Australian Bitters CompanyThe Can MakersThe Cocktail Lovers theme music is by Travis 'T-Bone' WatsonEdited by Christian Fox Hosted on Acast. See acast.com/privacy for more information.
Kyle Bray
Kelli and Bob visit the Ice Creamsmith in Dorchester, Massachusetts.
Join Kelli & Bob 'On the Road' as they visit several stops and share unique stories, including The Ice Creamsith in Dorchester, Massachusetts, the General Stanton Inn in Charlestown, RI & more.
On 3rd or 4th July 1594, Catholic priest John Cornelius was executed at Dorchester, along with three loyal men: Thomas Bosgrave, John Carey, and Patrick Salmon. Their crime? Helping a priest in Protestant Elizabethan England. In today's video, I share the story of John Cornelius—from his Irish-Cornish roots and education at Oxford, to his exile, priesthood, arrest at Chideock Castle, and eventual execution. A tale of courage, faith, and one man's final decision to become a Jesuit before facing death. A sobering glimpse into the dangers faced by Catholics in Tudor England. Subscribe for more true stories from Tudor history: betrayals, bravery, reform, rebellion—and everything in between. #TudorHistory #CatholicMartyrs #ElizabethI #JohnCornelius #TudorExecutions #ChideockCastle
Alright Y2K peeps, this one is just for us! This is the LIVE recording of my 4-hour vinyl set for our 25th high school reunion held at XPERIENCE Lounge at Boston Bowl in Dorchester, MA on June 13, 2025. This features tracks exclusively from fall of 1996 through spring of 2000, from all genres, that I used to play at high school dances — this time all mixed on wax, for us as fully grown humans. Katherine: "You have Hanson?" Me: "Sorry KK! I already played Hanson!" Katherine: "No, I mean — you HAVE Hanson? Like, on vinyl? How do you HAVE Hanson?" Recorded ...
In this episode, Fr. Edward welcomes Fr. Thomas Gibbons, executive producer of the new documentary Fighting Spirit, now available on VOD. This powerful film explores the heroic lives of military chaplains—both Catholic and non-Catholic—who served with courage, conviction, and deep faith.
这个暑假,上海的大展们终于再次大起来了。 从香港 M+ 整体移来上海当代艺术博物馆,早早已经开展的贝聿铭回顾展《贝聿铭:人生如建筑》,开展就爆,大排长龙。浦东美术馆从法国的艺术宝库,巴黎奥赛博物馆引进展览《缔造现代》,也是一个爆字。 贝聿铭,论声望,毫无疑问是华人世界少有的世界顶级大师。一般人看大师展,无非看看大师做过什么东西,做的东西什么样子。而杨老师关注的完全不一样。《人生如建筑》对杨老师来说只是一个 case study,而贝聿铭作为一个华人,如何以非常反叛的态度和人生轨迹,在西方世界建立了自己的业界地位,甚至堪称偶像大众的形象,才是杨老师最关心的。 要说法国的艺术殿堂,奥赛博物馆在展陈条件和作品观赏价值的综合水准上,是超越卢浮宫的存在。而且可以说是无法复制的。对于上海能看到怎样的奥赛,调整好预期,本来也不是特别期待,但另一位主播还是速速领略了《缔造现代》,跟您聊聊为什么来到上海的奥赛大展像一场“刘姥姥的盛宴”。 完整版请在【爱发电】或者【patreon】收听。 ■ 主播 杨老师 实验性的人生 · ■ Cover art 中作品 IM Pei outside John F. Kennedy Presidential Library and Museum, Dorchester, Massachusetts 1979. © Ted Dully/The Boston Globe via Getty Images Vincent Van Gogh, Portrait de l'artiste, 1889, huile sur toile, H. 65,0 ; L. 54,2 cm., © Musée d'Orsay, Dist. RMN-Grand Palais / Patrice Schmidt · ■ Song List n.a. · ■ 延伸阅读 贝聿铭:人生如建筑 https://www.powerstationofart.com/whats-on/exhibitions/impei-life-is-architecture 缔造现代: 来自巴黎奥赛博物馆的艺术瑰宝 https://www.museumofartpd.org.cn/exhibitiondetail?id=200&&preview=true · ■ sns 感谢你的收听!关于节目和主播的动态,欢迎关注我们的社交号: 「一画一话」微博 「一画一话」豆瓣 杨老师微博 另一位主播微博 Instagram上也可以找到我们。 如果你喜欢我们的节目请在你常用的平台留下好评,将节目分享给你的朋友。 · ■ 进入听友不说话群 添加小助手微信号:tvtproject · ■ 付费订阅 patreon 订阅 爱发电 订阅 · ■ say hi info(at)theviewtalk.com
Nine people hospitalized late last night after a third floor porch collapses in Dorchester. The Supreme Court Friday handed down a decision limiting the ability of federal judges to block President Trump's policies. One of the two remaining New Orleans Parish inmates who escaped six weeks ago is now back in custody. Stay in "The Loop" with #iHeartRadio.
Nine people were hospitalized last night after a third floor porch collapsed in Dorchester, the city of Bridgewater announces water restrictions to deal with drought conditions, and police in Louisiana recapture one of the two New Orleans Parish inmates still on the run after escaping six weeks ago. Stay in "The Loop" with #iHeartRadio.
9 people were hurt after a third-floor porch collapsed in Dorchester. For more, ask Alexa to play WBZ NewsRadio on #iHeartRadio.
I pledge allegiance to the flag of The United States Of America and to the Republic for which it stands, one nation nation under God, indivisible, with liberty and justice for all. Oh, beautiful for spacious skies, for amber waves of rain, for purple mountain America is back. Yes, sir. Yes, sir. Welcome back to the program. We appreciate it. Well, we got a governor's race coming up, and one of the men that is officially announced that he is running for governor is attorney general Alan Wilson, and he joins us right now. Attorney general Wilson, how are you, sir? Man, I'm doing great. Trying to survive the heat Yes. Probably like all of your listeners are right now. So if you become governor of South Carolina, are you gonna do something about the heat? Is that gonna be a campaign promise? I was gonna try to move the sun back just a couple of million miles just to give it a few degrees. I'm gonna work on that. Alright. So you announced this on on Monday, and, what was your thought process? Why did you want to run for governor of South Carolina? Well, first off, Charlie, let me start by saying I love South Carolina. I have loved serving as her attorney general for the last fourteen and a half years. This is something that I have been thinking about for many months. I've spoken with my family, prayed about it, came to the ultimate conclusion that I'm uniquely situated and qualified to be the next governor of South Carolina. As a twenty nine year combat veteran with experience in combat, as an attorney general who's commanded an office of 350 people, who has been on the national stage on high profile cases, very, very high profile cases, and has made very impactful decisions that affect this state as well as the lives of soldiers I've led. I feel like that I would make a great governor. You want a governor that is going to have a calm, steady hand on the wheel of the state, but at the same time, you want someone who's capable of bringing about true form and, reform and change without injecting chaos into our system. And I think I can do that. So you picked up some pretty big endorsements today. Right? Yes, sir. Yesterday morning in Charleston, I began with the Berkeley, Dorchester, and Charleston County sheriff. So on Monday, I received the endorsement of the Lexington County sheriff. Mhmm. And, today, I received the sheriff assuming the endorsement of the Greenville County sheriff, Hobart Lewis, who is a very dear friend and an amazing law enforcement leader, and I was honored to have his endorsement and support today. So let's let's take a look at at your governorship. What would you want to be known for? When it's all said and done, people say, Alan Wilson, he was the governor that that did this. What are your plans for the state of South Carolina? Well, my my priorities are gonna be basically this. We're gonna eliminate the state income tax. Three states in the Southeast have already done it. Another five states are working to do it. South Carolina cannot fall behind. And so eliminate the income tax would basically go a long way to my priority, basically promoting economic growth. Number two, I wanna doge South Carolina from the top to the bottom and back up again. Meaning, from school districts to local government, to county government, to state government, we need to be using state of the art AI platforms as well as a beefed up inspector general's office to inspect how money is being spent at all levels and whether bureaucrats and people embedded in government are spending money and applying the rules of properly and not arbitrarily. And if they are, violating, if they are committing fraud, waste, and abuse, they need to be exposed and removed. And if they're doing it criminally, they need to be prosecuted. I also wanna reform education. I wanna expand access, to more children at an earlier age getting access to classes and courses that promote reading comprehension and math comprehension, while expanding the op ...
I pledge allegiance to the flag of The United States Of America and to the Republic for which it stands, one nation under God, God, indivisible, with liberty and justice for all. Oh, beautiful for spacious skies, for amber waves of rain, for purple mountain majesties, from sea to shining sea. America is back. Yes, sir. Yes, sir. Welcome back to the program. We appreciate it. Well, we got a governor's race coming up, and one of the men that is officially announced that he is running for governor is attorney general Alan Wilson, and he joins us right now. Attorney general Wilson, how are you, sir? Man, I'm doing great trying to survive the heat Yes. Probably like all of your listeners are right now. So if you become governor of South Carolina, are you gonna do something about the heat? Is that gonna be a campaign promise? I was gonna try to move the sun back just a couple of million miles just to give it a few degrees, and I'm gonna work on that. Alright. So you announced this on on Monday, and, what was your thought process? Why did you want to run for governor of South Carolina? Well, first off, Charlie, let me start by saying I love South Carolina. I have loved serving as her attorney general for the last fourteen and a half years. This is something that I have been thinking about for many months. I've spoken with my family, prayed about it, came to the ultimate conclusion that I'm uniquely situated and qualified to be the next governor of South Carolina. As a twenty nine year combat veteran with experience in combat, as an attorney general who's commanded an office of 350 people, who has been on the national stage on high profile cases, very, very high profile cases, and has made very impactful decisions that affect this state as well as the lives of soldiers I've led. I feel like that I would make a great governor. You want a governor that is going to have a calm, steady hand on the wheel of the state, but at the same time, you want someone who's capable of bringing about true form and, reform and change without injecting chaos into our system, and I think I can do that. So you picked up some pretty big endorsements today. Right? Yes, sir. Yesterday morning in Charleston, I began with the Berkeley, Dorchester, and Charleston County sheriff. So on Monday, I received the endorsement of the Lexington County sheriff. Mhmm. And, today, I received the sheriff excuse me, the endorsement of the Greenville County sheriff, Hobart Lewis, who is a very dear friend and an amazing law enforcement leader, and I was honored to have his endorsement and support today. So let's let's take a look at at your governorship. What would you want to be known for? When it's all said and done, people say, Alan Wilson, he was the governor that that did this. What are your plans for the state of South Carolina? Well, my my priorities are gonna be basically this. We're gonna eliminate the state income tax. Three states in the Southeast have already done it. Another five states are working to do it. South Carolina cannot fall behind. And so eliminate the income tax would basically go a long way to my priority, basically promoting economic growth. Number two, I wanna doge South Carolina from the top to the bottom and back up again, meaning from school districts to local government, to county government, to state government. We need to be using state of the art AI platforms as well as a beefed up inspector general's office to inspect how money is being spent at all levels and whether bureaucrats and people embedded in government are spending money and applying the rules properly and not arbitrarily. And if they are, violating, if they are committing fraud, waste, and abuse, they need to be exposed and removed. And if they're doing it criminally, they need to be prosecuted. I also wanna reform education. I wanna expand access, to more children at an earlier age getting access to classes and courses that promote reading comprehension and math co ...
The end of the heat wave is approaching. President Trump insists Iranian nuclear facilities were badly damaged by U.S. airstrikes. A van carrying people crashes into a building in Dorchester. Stay in "The Loop" with #iHeartRadio.
Just as the enslavement of people was driven by commercial interests, today the enslavement of nature for profit violates a morality that sees value in all living things, according to the Rev. Mariama White-Hammond, pastor of New Roots AME Church in Dorchester, Massachusetts and former Chief of Environment, Energy and Open Spaces for the City of Boston. She joins us to reflect on how overcoming slavery, which is celebrated on Juneteenth, can inspire us to find ways to depend on each other so we can thrive in a world of ecological justice. Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's Money Tips Podcast: Silver reaches 14 year high amid global economic slowdown, wars and Trump tariffs. Silver to Gold ratio narrows as nations like Turkey, China and India hoard more Gold. Gold overtakes the Euro as preferred reserve currency. Should you hold gold and silver as part of your portfolio? To learn more Check out my SMART MONEY COURSE - https://bit.ly/4klq0mv World Bank forecast lowest growth rate for the decade since 1960s. Rachel Reeves on massive spending spree, while business confidence and jobs plummet. Where is she going to get the money from? Taxpayers and businesses, us! UK economy declined in April, as growth stagnates. Job vacancies and recruitment falling, as higher taxes drive business away. See Smart Money Is Moving East – Is the UK Finished? - https://youtu.be/_5jK8oHuj8o What can you do to secure your financial future in this changing world? Could Japan's debt crisis cause a worldwide recession? The more money I made the less I had. Al Pacino, legendary Hollywood actor Despite earning millions from hit movies such as The Godfather trilogy, Scarface and The Scent of a Woman, Al Pacino was almost broke TWICE at the height of his fame and fortune. Living “high on the hog”, spending $3-400,000 per MONTH! Flying private jets and renting a huge house in Beverley Hills for 20 years! He once flew his family and nannies on a private Gulfstream 500 to London and took an entire floor at the Dorchester. He left his finances in the hands of a crooked accountant to the celebrities, who was later sentenced to seven years in jail for running a Ponzi scheme. Pacino loved acting but admits that he was not paying attention to his finances and failed to invest. In his book, Sonny Boy, he said, “I would give money away because I had it” and “it didn't feel real, but it was, as I later found out”. “The amount of money I was spending was so f****** crazy, a montage of loss” the Godfather star added. Pacino said when you make $10 million dollars for a movie you don't get $10 million dollars. After lawyers, agents and the government take their share you end up with around $4 million. His living expenses alone were at least that amount before he put his own cash into arthouse films which made no money and in many cases were not even distributed. Things were out of control as his staff and expenses expanded. He owned two cars, but was paying for sixteen, along with multiple cell phones, salaries and a $400,000 a year for a landscaper on a house he didn't even own! The list goes on and the star wasn't even signing his own cheques and his money was draining out faster than a leaking pipe. Hangers on took advantage of Pacino's generosity as his staff and expenses eventually grew beyond his means. He said, the more money he made the less he had! What can we learn from Pacino's mistakes? You don't have to be a movie star to experience the same issues. Managing your money is important whether you're making $100,000 a year or $100 million! Check out my SMART MONEY COURSE - https://bit.ly/4klq0mv What can you do? As Warren Buffett said, financial education is the key to building wealth. It's the stuff they don't teach you in school. Learn how to build and protect wealth. Learn how to manage your money. Learn how to invest in assets rather than losing money by lending it to the banks. Learn about the invisible taxes like inflation which is eating up your savings. Learn about Gold and Silver, the only real money. Property Stocks and Shares I teach this and much more in my SMART MONEY COURSE – check out the link below: Join my SMART MONEY COURSE - - https://bit.ly/4klq0mv #GlobalPowerShift, #UKEconomy #BritainInDecline, #MoneyTipsPodcast, #SmartInvesting2025 #gold #silver #goldsilverratio #japandebtcrisis #globalrecession
Today:Food policy analyst Corby Kummer discusses the new "dirty dozen" list of grocery store items laden with pesticides.And, Michael Curry, head of the Mass League of Community Health Centers, discusses a new proposal for the shuttered Carney Hospital in Dorchester to be repurposed as a training facility for nurses.
James Rojas
The Hogan Era podcast episode 198 is all about The Duke of Dorchester Pete DohertyThe most significant name in professional wrestler history is Hulk Hogan. Hulk was not only the greatest star in his era but also one of the greatest ever to grace the WWE ring. Hulk was the face of WWE in the 1980s as well as early 1990s until he departed for WCW.Follow us on Twitter and IG @TwoManPowerTripStore - https://twomanpowertrip.dashery.com/
In this powerful episode of Healthy Living with Yoga Anita, I sit down with the inspiring Michelle Turner Young—a certified chakra and color therapy practitioner, fitness professional, and trailblazing dancer from Dorchester, MA. With over 18 years in dance and fitness, Michelle made history as the first American International Dance Hall Queen.But her path hasn't been easy. Michelle bravely shares how she overcame unthinkable challenges—including rape, homelessness, and suicide attempts—to rise as a healer, entrepreneur, and founder of Soul Fire Movement, her own dance and wellness studio.We talk about the healing power of movement, chakras, color therapy, and how Michelle uses her story to empower others through dance and spiritual alignment. This girl is on fire!
We kicked off the program with four news stories and different guests on the stories we think you need to know about!Zach Doell - editor of vehicle testing at U.S. News with U.S. News & World Report's 2025 Best Cars for Teens.Jerry Greenfield – Co-founder of Ben & Jerry's Ice Cream joined Dan to discuss the 42nd annual Jimmy Fund Scooper Bowl at Boston City Hall Plaza. Funds raised support Dana-Farber Cancer Institute.Dorchester Day this Sunday – Celebrating everything Dorchester with Jack Doherty – owner of College Hype.Jonathan Gulliver - MassDOT Highway Administrator with a heads up on the Newton-Weston Bridge Replacement Project Weekend Closures for Bridge Work – First closure begins tonight May 30th: from 9 p.m. to 5 a.m. on June 2. The second closure is set for 9 p.m. on June 20 to 5 a.m. on June 23.Listen to WBZ NewsRadio on the NEW iHeart Radio app and be sure to set WBZ NewsRadio as your #1 preset!
This week on Real Estate Titans, we sit down with Forrest Lennhoff, the powerhouse behind Lennhoff Properties — a company that manages over 855 rental units from Manchester, NH to Dorchester, MA, including 150+ sober living beds that are making a real impact.Forrest also owns 344 units himself and operates out of Lawrence and Salem, MA, proving what's possible with the right systems, mindset, and mission. We dive into property management at scale, the business behind sober living housing, and what it takes to build and grow a real estate empire in New England.
For Memorial Day, we have stories of conflict and devotion, and how they are told through memorials.A well-known memorial in Washington, DC, pays tribute to the US service members who lost their lives in the Vietnam War, but few memorials honor the Vietnamese who fought alongside them, or the hundreds of thousands who came to the US in subsequent years. A new memorial project in the "Little Saigon" neighborhood of Dorchester in Boston aims to do just that. Also, Chile's biggest carnival is kicking off at full speed. As many as 150,000 people have traveled to the northern Chilean town of Arica to participate. But this is not your typical carnival. Most of the dances and music come from Bolivia for a celebration of Indigenous Aymara, Quechua, and Afro-Chilean identities. And, Yaroslav Simkiv has played the trumpet for over 50 years and is a recognizable figure in the western Ukrainian city of Lviv. Several times a day, he plays his instrument from the towering mayoral building in Lviv's main square to announce the time of day. But these days, Simkiv has taken on a more serious role — bidding a musical farewell to Ukraine's fallen soldiers.Listen to today's Music Heard on Air. Learn about your ad choices: dovetail.prx.org/ad-choices
Frank Baker, a longtime Boston City Council member who served 6 terms over 12 years as a district councilor representing most of Dorchester and parts of South Boston, decided not to seek reelection in 2023. Flash forward to now and the former councilor has decided to seek election as a Boston city councilor at large to represent the entire city of Boston. Baker says after hearing a “steady beat of Bostonians urging me to step back in and get involved” he decided to answer that call. Frank Baker joined us to share his story.Listen to WBZ NewsRadio on the NEW iHeart Radio app and be sure to set WBZ NewsRadio as your #1 preset!
We're joined by Harvard professor Lizabeth Cohen to talk about how the era of Urban Renewal — and the arrival of Ed Logue — impacted Boston. From bulldozed neighborhoods, to a new city hall, to housing in Roxbury and Charlestown, this particular moment left its mark on the city. Cohen's award-winning book, Saving America's Cities: Ed Logue and the Struggle to Renew Urban America in the Suburban Age, takes a more complex view of this oft-reviled movement. RIP the POOP scorebug. Philly taco. Loving the new Boston Red Sox Fenway-inspired City Connect jerseys. (The Phillies' City Connects are a crime against baseball.) Dog loses Dorchester mayoral election. Have feedback on this episode or ideas for upcoming topics? DM me on Instagram, email me, or send a voice memo.
This week, Meteorologist Jake Grant and Meteorologist Erich Ahlf are back to recap the severe weather event that occurred this past Friday, which notably produced an EF-1 tornado. They discuss the setup and track of the tornado that tracked across parts of Dorchester and Sussex counties.
An Englishwoman, an Irishwoman, a Greek and an Australian walk into a DJ booth... No, it's not the start of a joke, it's the latest episode of the Scummy Mummies Podcast! Our guests are the hilarious comedians Riona O'Connor and Olga Thompson. Due to an administrative error, we find ourselves crammed into an unpleasantly warm enclosed space. We get up close and personal about pretty much everything - body confidence, the menopause, Jedward, friendship, school WhatsApp groups, ageing, the Crowded House origins story, raising teens, mental breakdown, and what to do if your tortoise has a prolapsed anus. Plus we play a revealing round of I Have Never: Menopausal Old Slags' Edition.For more brilliant stuff from these legends, plus details of their upcoming tour dates, follow @rionaoconnor_ and @big_fat_greekmother. And check out Olga's fantastic book about growing up in a Greek hair salon, Split Ends. WE ARE BACK ON THE ROAD! Our new show Hot Mess is coming to theatres all over the country in 2025 and beyond. Many shows are SOLD OUT already so get your tickets NOW for Wellingborough, Maidstone, Dorchester, Brighton, Henley-on-Thames, Nottingham, Taunton, Bristol, Poole, Buxton, and many more... Visit scummymummies.com for dates and tickets. *WE HAVE A SHOP!* Visit scummymummiesshop.com for our ace t-shirts, mugs, washbags, sweatshirts and beach towels. FREE UK DELIVERY! We're on X, Instagram, and Facebook @scummymummies. If you like the podcast, please rate, review and subscribe. Thank you for listening! Hosted on Acast. See acast.com/privacy for more information.
James and Nick welcome a couple folks from Western Justice, the NRA for the "western" way of life. A very different vibe from the last episode
A few months back, Sasha Purpura from Daily Table in Boston joined the show to talk about the non-profit grocery store's mission: team up with local suppliers and farmers to ensure everyone has access to low-cost, healthy food. Some surprising news has developed: the board of Daily Table announced recently it was closing down all operations within a matter of days, a move that shocked advocates, community leaders, and residents. Sasha returns to the show to talk about what happened and share resources for those who are food insecure in Massachusetts.
Ooh, look at us, sifting through evidence and sipping on fizz with the excellent Drunk Women Solving Crime! Listen in as we join Taylor and Hannah to discuss parenting fails, suppository etiquette, and what happens when nuns go wrong. If you enjoyed this episode you can find many more DWS bangers wherever you get your podcasts! And why not go and see them live?Also, WE ARE BACK ON THE ROAD! Our new show Hot Mess is coming to theatres all over the country in 2025 and beyond. Many shows are SOLD OUT already so get your tickets NOW for Wellingborough, Maidstone, Dorchester, Brighton, Henley-on-Thames, Nottingham, Taunton, and many more... Visit scummymummies.com for dates and tickets. *WE HAVE A SHOP!* Visit scummymummiesshop.com for our ace t-shirts, mugs, washbags, sweatshirts and beach towels. FREE UK DELIVERY! We're on X, Instagram, and Facebook @scummymummies. If you like the podcast, please rate, review and subscribe. Hosted on Acast. See acast.com/privacy for more information.
Situé à proximité du port de Montréal, le Faubourg à m'lasse a été charcuté plusieurs fois pour faire place au pont Jacques-Cartier et à l'élargissement de la rue Dorchester (boulevard René-Lévesque). Le coup de grâce a été porté dans les années 1960, quand Radio-Canada y a élu domicile. Maxime Coutié rencontre Jeannelle Bouffard devant ce qui était jadis sa maison et qui fait maintenant place à l'ancienne tour de Radio-Canada. Il s'entretient également avec l'historien Jean-François Leclerc pour nous raconter la riche histoire de ce quartier.
We kicked off the program with four news stories and different guests on the stories we think you need to know about!Wayne Soares - Author of ‘Honored to Serve: In Their Own Words' – A book with a collection of stories from veterans who served this country.Captain Jessica Berkhoudt - Corps Officer, Director of Newburyport Community Center at The Salvation Army, Massachusetts Division discussed the Salvation Army of Newburyport Laps for Lunches Walk-a-thon & Family Fair Coming up this Saturday May 17th!Professor Greg Stoller of Boston University checked in to discuss the various trade deals of President Trump.Kevin Deabler, Co-Founder and Principal at RODE Architects joined Dan to discuss The Boys & Girls Clubs of Dorchester and the Martin Richard Foundation who broke ground on The FieldHouse+, a state-of-the-art athletic and recreational facility designed to serve Boston youth of all ages and abilities! All about The FieldHouse+ and its community engagement.Listen to WBZ NewsRadio on the NEW iHeart Radio app and be sure to set WBZ NewsRadio as your #1 preset!
The organization opened its first store, in Dorchester, in 2015. It then expanded to Roxbury, Mattapan, Salem and Cambridge. Leaders say even though need is on the rise, it had to shut down abruptly due to federal funding cuts, high food prices and a drop in charitable donations.
What's it like to headline a stage at Glastonbury? Who is more fun to hang out with, Mickey Rourke or Alan Titchmarsh? What item you could buy from a Robert Dyas does Mariah Carey insist on having at her parties? Answering all these questions is DJ Nikki Beatnik! She tells us about Mums That Rave and how her amazing daytime parties are taking over the world. There's a bit of serious chat as we discuss sexism in the music and theatre industries. And we talk about the trials of accepting a prestigious award while simultaneously trying to sort out your son's Roblox login. Plus, we play an amazing round of True or False, and find out how Nikki managed to offend Jordan from New Kids on the Block. We bloody LOVE Mums That Rave and strongly suggest you get yourself down there - this week's event is sold out, but tickets are available for Birmingham on 7 June and London on 12 July. Go to mumsthatrave.com and follow Nikki @djnikkibeatnik and @mumsthatrave.WE ARE BACK ON THE ROAD! Our new show Hot Mess is coming to theatres all over the country in 2025 and beyond. Many shows are SOLD OUT already so get your tickets NOW for Chelmsford, Worthing, Cardiff, Worcester, Trowbridge, Wellingborough, Maidstone, Dorchester, Brighton, Henley-on-Thames, Nottingham, Taunton, and many more... Visit scummymummies.com for dates and tickets. *WE HAVE A SHOP!* Visit scummymummiesshop.com for our ace t-shirts, mugs, washbags, sweatshirts and beach towels. FREE UK DELIVERY! We're on X, Instagram, and Facebook @scummymummies. If you like the podcast, please rate, review and subscribe. Thank you for listening! Hosted on Acast. See acast.com/privacy for more information.
The end of the war in Vietnam scattered Vietnamese refugees across the globe. Dorchester is home to three-quarters of Massachusetts' Vietnamese-American population. This week, hundreds gathered to mark the anniversary with food, song and an immersive installation.
Mount Holyoke College president Danielle Holley was an early critic of President Trump administration's encroachment into academic freedom. She discusses the growing chorus of college and university leaders standing up for their independence.And, Michael Curry of the NAACP and the Massachusetts League of Community Health Centers, discusses the fate of Carney Hospital in Dorchester -- shuttered in the wake of the Steward Health Care scandal.
We're halfway through the show now and the fun continues! Bob from the Boy and Girls Club of Dorchester joins the show, we have a controversial weird story, and Katherine Loftus breaks down the Karen read trial! Listen to Billy & Lisa weekdays from 6-10AM on Kiss 108!