it will be inflation data. it will be employment data. it is going to be the balance of risks as we see it. it will be the totality of all that that will help us make this decision. reporter: just to follow up on that, specifically, in what ways right now, given all we have seen in the last few months in particular, on shelter and services et cetera, in what ways are you not confident right now that inflation is on its way back to 2%? chairman powell: i think it is just a question of seeing more good data. a couple of readings have added to confidence and we have seen progress across all three categories of core pce inflation , that is good. housing services and non-housing services. so it is really just, we had a quarter of inflation data at the beginning of the year then we saw good inflation data. we just want to see more and gain confidence. as i said, we gained confidence and more good data would cause us to gain more confidence. reporter: thank you. "the financial times." march pce pointed to three cuts in 2024 with core inflation a

data is important.ses, for low latency applications, it is less relevant, but certainly for user experience for local enterprises, for banks who need to localise their data, and for the user experience of the local population, having content being processed much closer to those users is hugely important. as you know, increasingly, the applications that we are looking at our latency dependent. that we are looking at our latency dependent-— that we are looking at our latency de endent. ., ., ., dependent. 0k, we will have to leave it there. thank _ dependent. 0k, we will have to leave it there. thank you _ dependent. 0k, we will have to leave it there. thank you for _ dependent. 0k, we will have to leave it there. thank you forjoining - dependent. 0k, we will have to leave it there. thank you forjoining us. - starbucks and its newly appointed boss brian niccol have come under fire for plans to allow him commute almost 1,000 miles from his family home in california to the firm's headquarters in seattle on

if you look at the commonality of data and data sharing, right? so now we're able to have a ground robots that you know, that talk to aerial assets and also provide a common operating picture for now, police robots still work in tandem with human colleagues. but machine learning could enable them to learn from their own experiences and take more task independently. we're starting to see, you know, robots do. so those are thomas tests today for asian, for instance, but also through some threat identification autonomous robots aren't only being developed for police forces, but for security firms and services to this work can also be dangerous and monotonous in switzerland, robots of being tested and taking on these tufts, the machines have one advantage that can work 247 without getting tired of this robot is a guard on wheels with foldable legs. that doesn't seem phased by adverse working conditions. and it should ideally patrol large areas like this for yard. the developers of the swift start up acendo hope to fill a gap in the chronically underst

so, in fact, in data protection law, we are data subjects, and the data controller is kind of like aontrols that data on our behalf. but there's an asymmetry of power and knowledge that means that we don't understand when they're making errors, and we struggle to hold them to account. so, the notion of a data trust is that we sort of democratise that, by having people, trained people, professionals, who look after that data on our behalf and do that negotiation with those companies and have what we call undivided loyalty to the data subjects. as we deepen and develop our ai capabilities, do you actually want to see the huge global tech corporates, the dominant players in this field, certainly in the western world, do you want to see them broken up? i think that's not something that i understand whether it's the right action. i think what is much more interesting is the recent legislation that's come in, which has this notion of strategic market status. so, strategic market status is, i'm not a deep expert on it, but it's a situation where if a company is dominating in one digital mar

i week of huge economic data.mi's, and various jobs data including the big payrolls report friday. my final thought. a look that payrolls estimates. there is a big expectation this jobs market is perhaps weakening. the prior report the unemployment rate was 4.3 percent. the estimate is 4.2%. participation recently increased to sending the unemployment rate higher. non-foreign payrolls estimated at 160 5000, the prior being one hundred 14,000. hourly earnings expected .3% higher year-over-year. three point 7%. wages has been a big part of the inflationary story. it from new york that does it for us. same time, same place next week. next week is in jobs data. a big show ahead. this was bloomberg real yield. this is bloomberg. ryan t. writes, "moving is stressful. can you help me take one thing off of my to do list?” ugh, movg's the worst. with xfinity, you can transfer your internet in just a few taps. just a few easy moves. did somebody say “easy moves”? ♪ ♪ oh no. no, i was talking about moving your internet. this

to your data rights. make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, new frameworks, new governance mechanisms, new regulations where we think a little bit more collectively about our data. let's take another question so far our conversation or your conversation has been pretty us to interact and you know, rightfully so. but what do you think about the, essentially a i arms race between the us and china, and what it means for their wasting ship between the 2 countries as well as the impact on the rest of the world. that, you know, they are very valid concerns about that kind of, you know, the potential for the misuse of this technology. i'm not going to dismiss those. but for me, this is a, an economic arms race, you know

but the, the pipeline of data and data collection and data creation continues because that is again, monetizing surveillance is the economic engine of the tech industry. and so again, what happened in 2012, there was a recognition that this surveillance data could also be used to train and to an a i . and that these a systems were incredibly good at both conducting surveillance. so think about facial recognition, think about productivity monitoring. so i think that we have to read a as almost a surveillance derivative, right? it pulls from the surveillance business model, it requires the surveillance data and the infrastructures that are constructed to process and store this data. and it produces more data as have heightens the surveillance ecosystem that we all live in. you know, it's, it's also what i have observed to working on this information and on troll farms in 2017. and i was doing some field work, you know, before that around 1015 or, and working with those journalist in human rights activists, including maria, who were so often targeted by governments. their phones were be

let's get more on that better-than-expected chinese inflation data. how do we interpret that data? what is the outlook on inflation for the rest of the year? david: first of all, if you look at headline numbers, you would think that the data improved. especially since it was higher than expectations, but if you look at the details in the data set, you can see that it was mainly crude or and mainly pork was supporting the cpi. as we adjust the said that if you look at the core inflation it was still lower than last month really, so that tells us that domestic demand is still weak, and unless we have a way to boost domestic consumption easily or soon, we don't expect cpi inflation to rebound significantly the rest of the year. paul: what are the reasons behind this ongoing weakness in domestic demand? >> it was mainly this lack of consumption behind the move. we have a model decomposing china's inflation, and we found that it was the household consumption dragging the cpi. on the other hand, monetary policy was supportive to the upside. paul: what does this mean for the pboc? could w

you don't have the data. you know, if the cops are facebook or anyone doesn't have the data because it's only available to you, but then the question is okay, with out the data to create the revenue to cover $50000000.00 a year. and by the way, 50000000 i was very cheap. so how are we going to guarantee privacy while supporting, you know, what it takes to actually produce an app that works for everyone. and we're, you know, i think that question is way, way bigger than signal, and i think it's one we need to be asking of every company out here, where's the money? and that sort of is nice not to how we started this conversation, which is making sure to that the money goes to tackling those very risks, to safety, to moderation, to privacy, right. making sure that the investments are also just being, you know, keeping in line with the, with that was texting and managing those since your technical harms. that is a good segue for us to take a few questions, either on the infrastructure, inventing new resourcing mo

we need one more data point, we need a bit more, we don't want to react one data point.but we are starting from a point in the short term money is at 5.5% and inflation is essentially 3%. that is a 2.5, 250 basis point spread. money is tight, and the longer they stay there the greater the odds that you are going to be in recession at some point. the weaker data, the weaker earnings data that we have seen beyond the seven there, it is all telling the same story. not a recession that the economy is weakening and if they are going to wait to see actual collapsing data and say oh, here we are, it is too late. it and say oh, here we are, it is too late. ,., , and say oh, here we are, it is too late. , ~' and say oh, here we are, it is too late. , ~' ,, ~' late. it sounds like you think fed is behind the _ late. it sounds like you think fed is behind the curve. _ late. it sounds like you think fed is behind the curve. what - late. it sounds like you think fed i is behind the curve. what happens next? does that mean a bigger rate cut in september or what the market seem to be a

no, because the societies, i respond to data and we just didn't get new data on the subject. i would love to have more data. and in fact, i'm working on finding additional objects like it next year in 2025, but we'd be new data coming from there will be no observatory in sheila, that's really employee. commer. uh with 3200000000 pixels. a 1000 times more pieces than your cellphone camera, and it was savvy the solve this guy every 4 days and will likely find many more objects like one more more. so i'm really looking for. busy more to the data from the observatory, and i am now developing the software with my boss docs to find new interests that are objects. so i'm in favor of getting as much data as possible. it's only those. so if the dots in the room will know the answer in advance and say it's never aliens and it's never interesting. they're actually quite boring. these people, i would argue that anyone with curiosity is reassigned is whereas people that know the i've seen above on not read assigned is because the important discoveries in science were never expected. and t

data center. we realize that in addition to connectivity level to the quiet, we needed a place where we'd, we'd compute high compute and betterment where all these different let them to collect themselves as well. i'm coming at us from this message. it would be host and to be analyzed. some have raise security concerns about working with well way, but also believes the team is prepared. if you focus on the vendor, then you missed the point. so we have good, continuous planning. why don't we go to a way that a of engineers network that's a good specialist while the primary invest bookcase really we're looking, we just like us. and i realize that it's a company that's a q a for as a cloud. we partner with microsoft, for example, being some of the sort of shows that, that, and that might look at the us company. so we don't limit this to where we can use cons. that isn't the only place storing sensitive information. and while way data centers, senegal agreed to migrate its government data from foreign

the data from the camera travels through underground internet cables to a data center, also built in part by wall way. the internet, the cameras and data storage are all connected, says lucas. oh, my low, who manages tons of data center. we realize that in addition to connectivity level to the quiet, we needed a place where we'd, we'd, the computer type compute environment where all these different let them to collect themselves as well. i'm coming at us from this much. it would be host and to be analyzed. some have raise security concerns about working with well way, but also believes the team is prepared. if you focus on the vendor, then you missed the point. so we have good, continuous planning. why don't we go to a light that a of the engineers network executed a specialist while the primary invest bookcase really we're looking, we just like us. so then i realize that it's higher the company basic us what isaac loud. we buy them out with microsoft for example being some of the sort of shows that, that and that might look at the us company. so we don't limit this. well, we can use

that is , it is not difficult to provide this data to the employer.do this, you do not need to run around the enterprise with papers, and then go somewhere to hand them in. the data that comes from enterprises is checked by both a person and a computer. if you enter in electronic form incorrect information, the system will not let you finish filling it out until you correct the error. reports are sent to district and regional statistical departments. specialists compare the indicators of each company with the indicators of the previous month, and if they see that the staff or the earnings of employees have sharply decreased or increased, they clarify the nuances. after that, the verified material again. the answer to the question of how you calculate the average salary in the country is there, now let's figure out why? this indicator is compared with prices in stores and real incomes of the population, to understand how effectively we all work, that is, to evaluate labor productivity. by comparing average salaries in different regions of the country,

the first is a data update, or rather the second is a data update. first of all, it is registration, if a person is not registered, then this is a fine, if a person was registered, did not update the data, this is also a fine, you need to understand this, but if a person was registered and updated his data through the reserve plus application, then according to the 559th resolution of the cabinet of the minister of ukraine, which determines that the military registration document can be paper or digital, such a person is exempt from fines, so it must be clearly stated here to understand legal terms, as it was said, so we agree with... it is necessary to understand legal terms, but not all ukrainians have a legal education, and what should people do if they do not understand legal terms, if they receive a fine, but they updated their data , as what do you advise them to do now, should i challenge this fine in court, should i pay or pay this fine and should i try to resolve this myself, or is it still better to seek the help of a lawyer? i advise citizens of ukraine to comply with the

sonali: we have a lot of data, pce next week and jobs data. if you look at what is most important to investors what are you looking for the most? brian: jobs is at the top of the list. we have seen inflation take a backseat. the other thing that is really important and this goes along with jobs is to continue to see the consumer willing to spend or at least spend some thing. it has really been a consumer led economy, always has been. and up until this point people felt good. they have their jobs and we are seeing risk assets and equity markets it very high level so the 401(k) feels good and the other investments feel good. you are willing to continue to spend at the upper income levels. if you start to see the job market deteriorate at a faster place -- pace, people will pull back where there is this moment where the fed is behind the curve. and that is detrimental to risk assets. sonali: brian and ken stick with us but we will go over to jackson hole where lisa a prominent is live with the bank of england governor and the ecb governing counci

, big data, this is a database of big data, which different companies, different people, different organizations. for different purposes, but they have learned to be friends with each other, they are with each other a friend is exchanged, a dossier is accumulated , in fact, it can be quickly built in one place, this does not mean that it is somewhere directly physically everything-everything about you is stored, but it is very easy to build collect in one place, and moreover, at some point you can collect the so-called golden record, where literally everything about you will be stored, let's list that everything, you have identification data by which you can be identified, determine where you live. there, who you are, who your parents are, where you came from, where you worked and so on, one, two, your medical data, actually the holy of holies, what you were sick with, are you sick with, there, no, serious illnesses, yes, that's very, but they also leaked there, then, all your types of activity, well, in fact, any action of ours, any, leaves a digital trace, you walked past a bus stop, the senso

so i don't need data. and by the way, nobody should fund the search for these to meet the all the search for other objects like one more more. and then that's really a way of maintaining your ignorance. but then a warm white self was very puzzling because it was roughly the size of a football field, a 100 meters, based on its reflection of sunlight. and the amount of sunlight reflected from it changed by effect or 10 as it was tumbling every 8 hours. so that meant that it has a very it stream shape because the area that these on the sky reflecting sunlight towards us was changing by factor of 10 this the object was spinning. and then the best feet of the variation was dr. flat. the object pancake like in more over the subject was pushed away from the sun by some mysterious force without shedding any mass. there was no comb authority of operation that would act on it through the rock at the fact. so the question was what is pushing it? and i suggest that it's just the reflection of sunlight, which we see an

a look ahead to gdp data.ointing higher by just shy of 2/10 of a percent pure nasdaq futures up by .4%. let's look across asset, pound and focus ahead of the gdp print. later in the u.s. we do get retail sales and then the key retailer are the biggest retailers walmart, a gauge of the consumer. 395 on the front end of the two-year. we will see if that moves as markets price and in the debate moves from whether or not it is a 25 basis point cut or 50 in september. 128 on the pound. seven and nine dollars a barrel on oil. iron ore under pressure in the session down 2%. 93 dollars per ton currently for iron ore on continuing concerns about the demand out of the chinese market. that's a check of your markets, let's get back to a key story right now this thursday, the world health organization has declared in mpox outbreak in africa a global health emergency. a mutated strain of the virus has affected about 15,000 people in at least six african countries and killed more than 500 in the democratic republic of congo.

generative ai is the next thing, we call it data intelligence where customers can use it with their data and build new experiences or uncover new insights in their data. so there is a long history of this. it's the continuation of that. snowflake is an amazing product for data warehousing. of course, we overlap on that, but the combination of ai and machine learning with data is extremely powerful. and bringing together tools like governance on top of this where it becomes much easier to manage the growing complexity to fulfilling these kind of solutions. >> there was just so many headlines in generative ai this week. you know, we were talking about salesforce earnings, and mark bennyhof had this line on his call to jim cramer where he said, companies are trying to do it yourself, a i, and they should. be doing this. they should be relying on companies like agent force. do you agree with that assessment? do you agree that companies should be doing it internally? i'm talking more about sales and markets and customer service, do they need to do it in house or outsourcing that? >> generally

we are practically back to where we were before the jobs data. that is in spite of economic data. the market is having difficulty pricing and how many fed rate cuts we will have by the end of the year. we have the likes of michael from jpmorgan chase saying we definitely get two cuts in september, and november and more after that. markets are pricing in fewer than 100 basis points of cuts between now and your end. just in the last few days we have at this change in market pricing. i am sure it is not over for the year. we are supposed to be in the quiet weeks. we caught up with charles evans about what the fed should do next. charles: i think they have spent a lot of time indicating they need confidence that inflation will be on a sustainable path to get to 2%. i think that is a stiff performance. it is time for them to really start talking more about how they will act. vonnie: joining us now is george bory and robert tipp. thanks to both of you for joining. george, let me start with you. early in the summer you were looking for one rate cut by the end of the year. it is so diffic

nigeria finds matter over data violations. the west bank economy. is in a crisis. israel wants to take over the west bank and they also want to take over whatever is left of gaza and they want to rebuild and make it their own. the us-israely genocidal war is taking a toll on the economy. many shops and businesses have closed down. what if palestinians were shut off from the banking system? i'm particularly concerned by israel's threats to take action that would lead to palestinian banks being cut off from their israeli. correspondent banks. these banking channels are critical for processing transactions that enable almost $8 billion a year in imports from israel. including electricity, water, fuel and food. nigeria's federal competition and consumer protection commission has fined meta, the parent company of facebook, whatsapp and instagram, 220 million dollars accusing the company of news using nigerian users data. nigeria, africa's most popular country, has at least 164 million internet subscriptions out of total population of nearly 215 million. now the federal

and we lose all of that data. how do you go from being the minority of individuals need to recognize that protect their own data? was, is the easy access to information i'm giving about? i don't think this is a matter of individual choice or individual blame. we can't function in this world without using these services, right? you know, we have to do this to get a job to function in the workplace, to go to school, to have a robust social life in a world where so many of our, you know, public spaces and ways of communicating with each other had been hollowed out by these platforms, i actually think it can be really dangerous to make this a, you know, an issue of individual will or intellect or consciousness. i think, yeah, what we're talking about is that a deep or collective issue where our lives are shaped by the necessity to use these systems. and where like look, facebook, create ghost profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people wh

t " " ' ,,,., monthlyjobs data, which was a big economy forthe tw " " ' ,,,., monthlyjobs data, which a big economy forthe remainder" " ' ,,,., the economy for the remainder of the year as filter costs continue to filter through the economy, but most economists aren't yet the predicting a recession. at the same time, the federal reserve is set to begin lowering interest month as interest rates next month as inflation slows. that may provide some relief, especially two sectors heavily impacted by borrowing costs like housing and manufacturing. next up, economists are looking ahead to friday's released to pce data forjuly, that is the inflation gauge that excludes volatile food and energy prices. satyam panday, chief us economist at snp global ratings, explained what the data means for the us economy. are pretty decent second—quarter number, out. it looks_ second—quarter number, out. it looks like— second—quarter number, out. it looks like the economy is steady— looks like the economy is steady as she goes right now, at least — steady as she goes right now, at least the underlying domes

today's data point of the morning is arguably the data point of the week. jobless claims. estimates look like to 40 is the number we are looking for in our survey. the number last week to 49. this one has become more important. annmarie: they're expecting a 9000 drop in the initial claims. deutsche bank billing it as one of the most important data points of the day and potentially the week. the increase last week, there is some seasonality. auto factories are closing, you have some school closures, the hurricane in texas, but what did mohamed el-erian say yesterday? this market feels and careless. any data point that comes out they will potentially want to really get there handle on. jonathan: hoping that we pull back a touch. the calendar for the month ahead, let's go through it. i think it is worth revisiting. we have a federal reserve decision, the meeting begins december 17. we have a cpi report on the 14th of august. jackson hole in the speech that traditionally is given by the chairman takes place on august 23. payrolls on september 6. cpi september 11. that is a lin

back to data. and in the 1000 countries like india, more than half the population is to not on line. right? so these people are digital uncounted in some sense, but the systems us to impacting them. so the chances of bias or exclusion of very, very high at the same time i, systems, or machine learning is a state of school technology. it reproduces the future based on the past, right? and what that means is that even the data that does exist already reflects historical patterns of injustice of discrimination against women. again, certain religions against people, of sucking costs, etc. so the systems reproduce that and it was in trench it because it invisible license that decision making as was right. so one of the solutions for this. so the way that we talk about the solution is that we need to be with more inclusive systems. what's the incentive though, for these companies, given that, you know, they're driven by a profit motive? essentially, the very few i think is, this is the problem, but we ca

yes, i did. we had taken receipt of uk independence party data and the survey data. this was not the first time cybererspace. change the real human world. egypt, 2011. "the whispers of the arab spring were heard in egypt with the page of facebook user protesting against then president hosny mubarak's regime. no one believed that an internet page could be so effective in such events, while gonim who had been covering the events of tunisia directly for some time, but after a while he decided to call on the people to protest in tahrir square. he didn't think the post would be received so well. the scheduled day arrived." a large crowd gathered in tahrir square and they were all demanding the removal. the crowd took to the streets of cairo with only one post, the protests worked and just 18 days later, muhammad's regime fell and the people felt overjoyed. facebook managers also realized a new function of cybererspace, they were not willing to claim responsibility for the function and didn't want to admit its effectiveness. zuckerberg didn't want to accept that the world

the data that comes from enterprises is checked by both a person and a computer.ter in electronic form incorrect information, the system will not let you finish filling it out until you correct the error. reports are sent to district and regional statistical departments. specialists compare the indicators of each company with the indicators of the previous month, and if they see that the staff or the earnings of employees have sharply decreased or increased, they clarify. after this, the verified material is checked again at the main office of bellstat and on the 24th of each month it is published on the department's website. there is an answer to the question of how the average salary in the country is calculated. now let's figure it out why? this indicator is compared with prices in stores and real incomes of the population in order to understand how effectively we all work, that is, to assess labor productivity. by comparing average salaries in different regions of the country, you can find out how much the standard of living of people in them differs. for inve