Aired 1 d ago 1:08
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Aired 2 months ago 4:42
Cal Fire Chief Ken Pimlott Discusses Wildfires Ravaging California
Support for this podcast and the following message. Come from internet essentials from Comcast. Connecting more than six million low income people to low cost high speed internet at home. So students are ready for homework class graduation and more. Now, they're ready for anything in California. Authorities faced the grim task of searching for the missing and dead as wildfires continue ravaging communities at both ends of the state one of the fires. The campfire has killed at least twenty nine people and has destroyed the town of paradise which is ninety miles north of Sacramento, and there are fears the death toll there could rise as sheriff deputies comb through neighborhoods reduced to scorched earth and burned out homes and cars, Ken Pimlott is the head of California's firefighting agency Cal fire yesterday. He said, the high winds aren't cutting the thousands of firefighters any slack fire conditions will continue to exist until we get some. Some sort of appreciable rainfall precipitation to change that cheap Pimlot joins us now from Sacramento, welcome. Thank you. So I remember speaking with you on the show just this past summer when your teams were maxed out they were working around the clock trying to contain some massive blazes. And here we are again. Absolutely. I remember at that time we were talking about you know, breaking records. We we had the largest buyer in the state's history. And now we're talking about the most destructive and the deadliest. So give us a quick update. What are you hearing from your teams from where you are right now? So you know, the campfire obviously continues could be considering. Although the winds have died down a bit in northern California. We still have very very dry, weather and don't see that changing at all within the next week. And so the fire, although it's not actively burning structures in the communities. It's really moving up onto some more rural areas, but it continues to be a large fire, and and it's really just working through the overhaul of the what used to be paradise. And it's really now just the clean up as you mentioned is the continued search for over two hundred people that are missing, and we certainly hope that this Taliban count doesn't increase, but we know there there's a strong potential for that explain how they can. Doing winds are complicating efforts right now. Winds just drive fire, and you can see in the in the fire in southern California. It is the Wolsey is just continuing to accurately burn. We've got sixty to seventy mile an hour offshore Santa Ana winds blowing for the next several days. And if those are just they're deadly and if whether conditions don't improve could we see even more fires start. Absolutely. We are in very critical conditions, particularly in southern California this week and particularly fan Diego riverside San Mateo county's. We could easily see more fire star in the next few days. Now these fires they've been more aggressive in recent years there. They're hotter. There bigger there faster. How has your firefighting strategy changed in the past few years with these more explosive kinds of fires? We continue a very aggressive initial attack policy. There's forty million people in California, you know, we can't afford to let what fires escape. You know, our goal is ninety five percent of them to be contained at ten acres and a lesson and we meet that goal. But when the fires escape that initial attack under these conditions. They are becoming explosive and so it's for us. It's it's looking at where we can contain them in areas where maybe we couldn't or didn't before we look at rid lines. And unfortunately, the focus really has to be on protecting lives and property. That's always our first priority. And when you're engaged in doing that like we did in paradise minimally spending the first day saving lives, you can't work on perimeter control. You can't work on you know, containing the fire. And so these fires just again, there've been they're gonna get bigger on average where we're seeing more and more one hundred thousand acre fires each year, and those used to be the exception to the rule. How are your firefighters holding up? They're not getting any breaks these days, right? They are firefighters retired. We had a short break between the the summer fires and before this fall started. But this this is going to be occurring until it. Raines, and may have our firefighters and law enforcement and other public safety officials have lost their own homes and continue to work on the fire lines helping other people so it's a it's taxing on. Everyone Ken Pimlot is the director of the California Department of forestry and fire protection. Thank you very much. You're welcome. Thank you.
Aired 2 months ago 5:54
Well, this is new: Price cuts on Bay Area homes are surging
You're listening to the spoken edition of the San Francisco Chronicle. Well, this is new price cuts on bay area homes are surging by Kathleen Pender. They're not exactly doorbuster deals, but bay area home sellers are cutting their asking prices at the highest rating years October is typically a big month for price reductions as sellers try to close deals before the market slows way down between thanksgiving and early February. But the number and percentage of homes with a price cut surge last month to their highest level for the month of October since at least twenty twelve in the bay area and twenty eleven statewide the jump in price cuts, which hit every bay area county is another side that after years of stratospheric increases prices are leveling off and buyers gaining a little more power in what had been a strong sellers market price cuts are a leading indicator because they're reflected immediately said Patrick Carlisle, the chief Mark. Analyst with a compass real estate brokerage although bay area home prices are still going up on a yearly basis home sales median prices and days on the market are considered lagging indicators because it can take a month or longer for deals to close in San Francisco. The number of homes with a price cut in October nearly doubled to two hundred thirty eight from one hundred twenty four last October, according to data from real tour dot com that's nothing compared to Santa Clara county where the number of price cuts rose to eight hundred eighteen last month more than six times last year's number Santa Clara county had been one of the nation's hottest markets this year and the bay area's price appreciation leader until September. Clearly, there's a market shift said rich Bennett, a zephyr agent in San Francisco, he just cut the price on an eighteen hundred thirty two square foot Victorian condo in popular Hayes valley by one hundred thousand dollars. He listed the. Page street home in mid October at just under one point seven million, which was realistic considering it has three bedrooms parking and a laundry porch and is quote, absolutely adorable. He said, but the buyers didn't come in October. We saw more inventory come on the market the economics of the bay area haven't really changed and it said, but if you don't have people beating down your door after two to three weeks, it's time to consider a price change. He has another listing right around the corner, a one bedroom single family home on lily street that he listed two weeks ago at one point one two five million dollars within a week. It had a preemptive author and the sale is now pending single family homes are still a hot commodity in San Francisco. Another condo just down page street from his listing. Also had a one hundred thousand dollar price cut it sold in February for about one point four million and went on the market again at one point. Three nine five million in early October. Now, it's listed at one point two nine five million below its last sales price. That's a good indication of how the market has shifted Bennett said even Palo Alto famous for its multi-million dollar tear downs is seeing price. Reductions Remax realtor. Karen, FANG said she listed a house near Stanford University on a one and a half acre lot with a ton of deferred maintenance for four point one million dollars in mid August since then the average rate on a thirty year fixed rate mortgage has risen from three point five percent who almost four percent the cost of building materials, which the home would need has also gone up after reducing the price to three point five million the Palo Alto property closed October thirtieth for three point eighteen million. Nearly a million dollars less than the original price in San Mateo. Dennis Pantano of Pantano properties. Just sold a house on Texas. Way for one point six million dollars after four price cuts. He listed the nineteen hundred ninety square foot house for about one point seventy five million in mid June. But within ten days the number of listings in San Mateo around that price jumped to nine from two had he listed it in may, it would have had lots of offers. He said it's an illustration that not every house sales at full price or over buyers. Meanwhile, sometimes have to be convinced that a price reduction doesn't mean there's something wrong with the house said Paul kitchen, a compass agent in San Francisco, there are a couple of places that came on the market that were seemingly reasonably priced. He said, but buyers expect to pay ten to fifteen percent over asking we say, let's put in an offer at asking we have to convince them. There's nothing wrong with the property kitchen has a client who offered the asking price on a home that had a price reduction, and it was accepted even though there were contingencies. The buyer was somewhat surprised that they had time to do the diligence. We had encouraged he said oddly, Carlisle said he's seeing price increases on homes that haven't sold until recently egregious underpricing was very common strategy in San Francisco and other parts of the bay area. He said agents would price ten to twenty percent below with the seller would accept hoping to get five ten or twenty offers and drive the price way beyond reason. Now when a home doesn't sell within a few weeks, the agent may increase the price. So as not to put sellers in the uncomfortable, but not illegal position of having to reject a full price offer that was lower than what they would accept.
San Francisco Chronicle Business & Technology News - Spoken Edition
Aired Last month 24:35
Data Challenges in the Defense Sector
In our explorations of various industries here on the industry cast, portable kinds of challenges with data data being tied up in silos data being not labeled organized or not organized kind of singular way that actually makes it makes sense. But rarely we complained about data being disjointed because it was just blown up by grenade. That actually is the case offer some of the information that the military needs to extract in the field on this week. We're gonna be talking about the defense sector. We interview Ryan Welsh who's a CEO of a company called Kindy is working on explainable AI they're based in San Mateo, but they do a good deal of work in the defense industry. And this week we focus on specifically, the dynamics the unique data challenges, let's say of the defense industry as well as the general use cases of AI in defence, a writ large. There's two major takeaways think for this particular. Interview one of which is it many of the admittedly extreme challenges. The defense sector has to deal with with making sense of on label data do transferred to other spaces in sectors people deal with extremely disjointed. Text information is sometimes called dark data an information various languages, different dialects will build a resonate with some of the unique challenges talked about in this episode, and maybe even gained some insights for how to handle them. In addition to that. I think it's always useful to get a sense of how different sectors changing if you are an executive your manager knowing where to the healthcare field or knowing where the retail field is starting to change and Ben adjust in terms of new capabilities for new strategies being used by companies. I think this is all part of the opening of the is that make these interviews worthwhile and rarely have we serve gone deep indefens- specifically. I think some of the insights there again will provide the same kind of rounded perspective on the capability space. AI which we really liked to be kind of ROI of the show itself. So I certainly hope you get a lot out of this episode conducted this interview live, and a we work right in San Francisco was over there to speak at the trans tech conference this past week, man, right? After my interview at Salesforce, one of the folks that works with Ryan was kind enough to book room, and we work we got to hang out some coffee, shoot the breeze and getting a fun interview. So certainly hope you like this one this is diving deep into the defense sector. I'm Dan for jelly. You're listening to a and industry. And this is Ryan Welsh with Kindy. What's diving? So ryan. Yeah. Kidman's off is China. The unique challenges of applying in maybe even Dopp Dany on the defense will think a lot of our crowd is in the enterprise on heaven idea of maybe what some of the struggles. Are what's unique about defense in terms of considerations for bring? The most Jones you in in defense is the data that you're working. It is often extremely dirty fragments of tax. Unfortunately, people are getting crop doll lead for you before you get it from them. That's also a challenge. I think the singing in defenses is the actual data that you're doing the rations on. Of course, you're playing a sheen techniques. It really does come down to do. You have legal data is dated clean also result in the value of the system that you're using. So biggest challenges is the dirt of data court. Just because fence encompasses so many things people think like oh pharma. Okay. We'll need to have like our life sciences information about proteins need to have some sort of than our trials went into facet sort of isn't may depart defense airplanes too easy. Just a factor of. However, all the concept is or is it a factor? Maybe you know, how old stodgy systems are assigned extorting what what's the function will state extra challenges mainly we're really getting from. So oftentimes, you'll do a collection on the the bathroom. So for example, if you take a town, you're going to click our drives collect receipts collect all his stuff out in feeling gonna wanna do analytics on that you want given to analysts and see what folks are doing. This isn't anything new military throughout histories collecting information from our military combat. So when you clap those snippets they may y'all torn up because he threw grenade inherent advocating all nations, though. So now, it's so now data or very clean data that you ruined Turnley by college regiments. Okay. So so well. For the first time grenades have been mentioned on gas. Oh, congratulations to our listeners palm you that. The I hear that word, but it's not only that it's very data. But it's that this is being acquired in really Roth way in the first place. Again, we're not working strating it. We're ribbing out of the world. Whatever Reuss some formats, so it could be in Inara bec- stored somewhere some bunker. Now, we have to figure out is there is there are plan in here that has to do with tacking these two four where we think that they're went some, you know, preemptive strikes up or something. Intelligence out of out of that data. So it does does the jump. Very dirty data hearts knits one-sentence of you miss a few sentences than you have another sentence. That's certainly I can imagine what has to happen in that world. Better than I is that we have to have so discreet, use cases. For say, look, we go million directions generally for himself. This problem, you need at least this much of this stuff units ugly, and we need to be able to processes extract kinds of things because it seems like is such a raw problem is every time you're doing this kind of intelligence gathering is from new formats in a totally different methods. He's like if we're gonna training I system we at least tapa, even the world's data is structured. We have a structure win making that case happen consistently. The best way to handle. This is to go down to the character level within words actually down to the car down to the letters within words times. Times when you build these. If you're big a knowledge traffic network doing so reason over it and things like that may just be chunking words, but you have to go down a level of granularity down to the individual characters and start to draw connections between all the different characters. Wordsworth says it says this other since since star. Triton specifically mobile dialects is as well. Comes at a challenge. Like, if you take in heat harsher from say, Stanford, Al Heaver that's going to be trained on your standards standard Arabic versus local violent. So little fall over man. That's yes. There's receding the real deal challenges. So you have to start. I mean, you're not getting a nice pieces. You have to pick up rains Enin. See if you can coax for the we're got, however, many hard drives here, which of these files even were reading we don't have forty thousand hours today. Kate, you're reading these things. So can we just raise said in this set of folders refinance wrong, star cat and feel why bring that up? It's one of the big big fine. Why they is were phased the amount data that you have them out of competition resources while competition our competition resources put out yet. So you now knee officiant algorithms that were limited resources out in the field on data. All thanks challenges that come with using a other sheen learning techniques in defense, we talk about definitely mentioned on the podcast on the longtime listeners live hurt it that the challenges of ecommerce retailers physical retail where need commerce, I will get what you cricket. When you add it to our from car. Wrecks your pain history. Awesome neutral record everything tonight virtual world invisible retail camera to like, no less you. That's right. And in the ninety two energy guesstimate, whether someone stopping is winning Nile music, they actually care this product versus that product and already rebound the real world. But then you environment that I built as a store by instrumental mild sensors, we're talking about gifts in our. So so yeah, it sounds like just. The food day either the data sell this is you know, when you guys it's not the ass the challenge. Soreness, Josh not is type of data that you're working on. And then if you even have the computational resources said, you can set it back to data center to do the processing. That's great. But oftentimes that takes an extended extended out time by the time the results back tell Zoll. Everything out on under data yacht move really really quick John zoom. The ways around this. It sounds like miniature defined your use cases understand what is potentially viable with greedy eilly information in just had enough experience who she through when I know here in San Francisco, our time, find data, scientists imagine, you know, all harder. Imagine these tools actually have the accessible. I can't imagine a guy, you know, just to Kate off his back sitting down engineer features. You know, that's tough twos. Things have the assessable out there. Yeah. You were out to respect I'll get into our next question here. But I think that that's a useful up because I think again shocked about retail that is actually nothing compared to grenades different level here. So the next the next question is is around serving win defense cares. Ira. Just remind perspective of starting now. I'm seeing the US Curie folks calling in people to talk about a outside context. Justly both on us weapons. Most people think of people who were familiar to begins. Darpa funded a ton of a of neuro stuff throughout the last whatever forty years probably longer. Who cares? This is the wax Univation arms or other elements of defense or storm wake up and say. Cares. You're leading movie. People miss about about defense end intelligence is that they in the garment sector, and they think it's red tape slow bureaucracy, the laying with Kennedy the the folks in defense intelligence are truly deserving customers. They've been doing it for forever. That's their job to get intelligence out of data. So interested in a in the fence sector, every are and they happen for your time. And if you go back to dot anyone signal intelligence, they'll tell you they've been using deep learning. Actually said that propagation dating back all our neighbor Nate says so. The news and they've always data. They've always had the connotation resources to make these techniques customers. The product name in Ann Arbor stuff in these early precedents attempts things that today are like oh, you do that vision whatnot. There's general we are of this. It seems like the cutting edge of I look into the enterprise world where I think there are reasonably more vast is exit or some sectors another, but I will get your maybe media commerce in some retail, some finance NSA of these guys are lark executives leading the show. But even for them rasping capabilities new use cases, they I having some yet we're close into their social needs is still still until I'm wondering defense folks have a history kind of a way they happen due to grow to Texans before most people. You know of aim are starting to see more rounded to use cases. Again. I don't get the smartest faces. I said they don't feel like guy. Of big zero facing via the economy's right now is is operatives. Do not know the use cases they are alive for these technologies right now. And I think that's the or startups and other companies have a lot to do in providing that information to to users. We need to start the a is as a feature not the product right where the Lao folks Ligue not ask the product just a feature of products yet you'll livers value to a to a hustler. So we need to change our way of thinking stop saying, I'm selling you are fischel televisions and radically of selling you a solution to your problem in literally justed Salesforce, the same emphasized in the cease Weedon, and we see so many companies we know that the words around they're getting little traffic right at people's visions in the south. You can get a middle manager download away paper, but you're not gonna really hook. Someone who's been cut the big checks. We just the buzzwords like it'll go where he needs to bummbly to go straight in that use case conversation, and it sounds like even in defense, like they're they're just having a sense of once even possible, which these vials, they're they're not intimidated, by the words, but it sounds like, you know, in his base to their figuring out. What's really out there? What has a chance of working something as simple as enterprise search? Elastic good going here. You're recently. A lot of folks are using elastic search ended phenomenal surgeon for terms, and then you take in a vase search like what you see polished on the standard question answering data, and no one would confuse elastic term day searched with these kind of question answering systems. I think I think we need to have moves something as simple as that saying, hey, I now have a in my right circuit ability. I can now get you better information much faster than you could with terminate search in something as simple as that you can go into any executive. I haven't oppressor capability for you. There's a is part of this. And because of that on your people say two hours every day. The right way. Something. So simple bet that I feel like people have go towards this kind of be bigger picture on any way giant groups of people as opposed to. Hey, his name anniversary say our of everyone's dead yet tie out in Raleigh regular like something people could care about through on. So question related to this form games of the last question. We talk about innovation. Sounds like the keywords in the buzzwords of this stuff is is kind of old hat many ours of defense in every see US our prison, you know. Were you know, got a lot of money for that? So around here, and but still exploring cases, they're having the same challenges. Other people are cutting edge innovation. Do we expect the real leading edge adoption of whether search vision sensors, whatever happenings of win in the day in some censor within defense kind of in the polish sense were we expect the the Boeings in the big defense contractors of the world on to to really mean, the ones that are probably getting as on was really on the on the anada leaning educated ones getting worse to to build the thing in the wants to test once wacky in straight at Carnegie Mellon straight out of Stanford and seeing if it can work field. Yeah. I wanna make you pick one of the. Oh, yeah. I think I think. That's a great question. So so for my experience, the the larger s is are really good at taking techniques that have been proven to work on a class of problems doing that scale and companies like like mine push the limits of was hostile with with I and there are Bruce within the defense industry that are willing to were rally with us to test things out than either Rescale take a company like they to scale with the size of the contract. Get some like like us. We're still figuring that out. We have a completion are doing work with larger as I or bring on were Bill L rather that services can plant lightly power. These are veterans rations defense. These wars to navigate the from hearing correctly. We might expect maybe in Ables. So clearly a lot of the very meeting edge actually is gonna fall off from ecosystem outside of. The era one. Time. Why those those folks you clearly they're gonna be cutting edge stuff. But obviously a lot of bubble up from smaller first firms in our really targeted nail thing that they're trying to bust open. Tactically. Obviously you guys and everybody else coming into the team. It sounds like is still to be figured out in some sense. Does that all have been through the biggest apples players atten storage with contracts word is tied straight into the government? The government has has done really well, and I would say probably since since pound tier as I guess route two thousand five the government's done a phenomenal job of now engaging directly with startups. Rest four it was, hey at your startup, you gotta go work through the day as I. Phenomenal job and to meet rally with people in Silicon Valley. Every time I meet someone in DC say at some conference rating, TIMMY, ladles all the. Valley within the next thirty days. So your office. They think phenomenal job doesn't five. He's got. These these alarms for this to die would UCI is out here in Austin. I order Boston. And so yet I heard that National Defense University. There's this attempt to baseline to keep up with the times, they realize that it's not going to be something you wanna win to trickle at can you have to jump because the other countries are jumping so they're they're actually using interface between the star world government had better than they've they've adopted our doubted rather because the history of of innovation maybe prior to the nineties all goes coming out large institutions, whether it's bell labs. Darpa those kind of Xerox PARC like these big institutions than all sudden, it started to see diffusion across like smaller startup can build phenomenal stuff because it's cheap to to write coat, right? And they had to that to that. They could no longer just talk to fiber, Asians, all the invasion in the United States. They not talk to five thousand. I think that was a bit of a challenge from that probably from, you know, mid eighties early nineties until two thousand five than they've recognized that changed really quickly from from Judah five kids today, that'd probably bodes well for firms like yours and the other people that wanna Christian cross into that space a little bit. Last question end will ramp is quickly as you need to you. When you look forward in the world of defense. There's so many frontiers allocation. I think one thing we like asks his final question is eight ahead. What is happening now that will? Have a date into it as the nor right now. So we not but the impossible enormous think about anymore. Switch spots were really seems like based on the interest based on the excessive on it. A really we might estimate to be lower than other things in terms of a in wars in the future. Everything this Bill top of your classic enterprise. Data your classes, structured enterprise, data all of it will have machine learning. Take every application of the last twenty five years. Al. Predictive capabilities, right? I mean, that's actively. What is what is going on? But but really what's going to significantly move. The needle totally transformed. Everything is a on the unstructured data on the text data on the human communications. That's a really tough nut to crack intelligence. Aim rice just on folks are are starting to address that like like us focusing on structure text data in that is going to I think finally transferred them. So I think there's three legs to the stool for rent prices classic structured data. You have your sheen generated data. So you're like I o t platforms at our things. Then you have this unstructured. Text data recounts relaxes tool and we saw the analytics for storage, Alex of you're not in your structure data. We still have Sol's storage healthily, Alex Aldi unstructured text. Naturally. His machines. Don't understand lion. Very well. Yeah. Yet, anyway, all across guys tonight. I certainly think that the folks tune in the Geist of intelligent layer on top of that price systems isn't appealing one. And I guess we'll tune in to see what happens next time. Thanks. Thank you. Thank you. That's all for this episode on the industry podcast where we explore the applications and implications of AI in your business or industry when it comes to those benefits of real insight in terms of artificial intelligence applications in business. This show is really just the tip of the iceberg. A industry is produced by tech emergence in over at tech emergence dot com. You can find actionable industry specific coverage, including case studies, unique market research with charts and graphs and regular coverage of the applications of both the hottest startups here in the bay area as well as what fortune five hundred companies doing with AI today, everything from marketing and advertising business intelligence to specific industries like finance in health care. You can stay ahead of the curve in stay on the right side of disruption by visiting tech emergence dot com when you're there make sure to sign up for our weekly newsletter on the left hand side of the page on most of our podcast listeners. Get the episodes directly to their inbox. Every week. You'll be joining tens of thousands of other business leaders who joins us from all over the world to stay ahead of the curve of AI in their specific industry. So that's tech emerges dot com. I'm Dan for Gela. This is a and industry. We'll catch you next week.
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