Category Archives: Data Mining

This is why miners are selling their bitcoin at levels not seen since … – CNBC

Recent data shows a major increase in the amount of bitcoin moved by miners from the mining pool to crypto exchanges, but the price of the flagship cryptocurrency continues to show resilience. Selling volume by miners hit its highest level Friday since March 2019, according to blockchain data firm Glassnode. The day BlackRock filed for a spot bitcoin exchange-traded fund , selling volume jumped to its highest level since September 2017. This selling behavior, implied by miners moving mined bitcoin to exchanges, began at the end of May. Miners are still recovering from the brutal bitcoin sell-off in 2022, when the cryptocurrency fell 65% and dented their profitability. While bitcoin has been struggling at the $30,000 level after a momentous rally to start the year, it's still up roughly 85% in 2023, which has led many miners to offload their bitcoin holdings to raise cash to fund their operations. "With bitcoin at $30,000 you have some miners who are selling everything they produce because they're either trying to service debt, they're trying to put a little cash on the balance sheet so they can buy more miners and expand because we have a halving coming in May of next year," said Fred Thiel, CEO of Marathon Digital, a mining company. "For a lot of miners, the only way they can raise capital or any liquidity is through sales of bitcoin." He added that many miners sold most of what they had in inventory in the spring and are now selling all the bitcoin they produce just to build cash on the balance sheet. A report issued by Standard Chartered on Monday estimated that the 12 largest listed miners sold 106% of mined bitcoin in the first quarter of this year, including stockpiles. Data for the second quarter will show a slight decrease to just under 100%, the report found. The 12 companies account for 20% of all bitcoin mining, Standard Chartered said. There are about 900 bitcoins mined a day, and the typical daily trading volume of the flagship crypto is between $7 billion and $10 billion, which means miners could sell 100% of what they're producing today and it wouldn't move the price of bitcoin much, Thiel said. It costs about $17,000 on average for a miner to produce one bitcoin. Miner selling shouldn't weigh significantly on the price of bitcoin price, however, according to Thiel. "Bitcoin miners' operating costs are fairly fixed, meaning that you're paying a fixed price for your electricity that's what drives your marginal cost of production," he said. "If the price of bitcoin goes up 60%, you can sell 40% less bitcoin and still have the same dollars in your pocket at the end of the month to pay your electric bill." Getting ready for the halving With the halving the market-moving event that comes roughly every four years and tends to drive a big bitcoin price rally expected to come in spring 2024, there's a race to add more computational power for miners, Thiel explained. This computational power is known as hash rate. Bitcoin's hash rate reached an all-time high Saturday, according to Glassnode. If miners want to start getting a return on their investment, they need to accelerate the development of their facilities and capacity. If they don't add more hash rate until May 2024, it'll take twice as long to generate their return, according to Thiel. "It's really about producing as much as you can now and then trying to liquidate what you can to maximize your balance sheet," he said. The last halving took place in May 2020, just a few months after the last spike in bitcoin moving from miners to exchanges.

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This is why miners are selling their bitcoin at levels not seen since ... - CNBC

Anglo Asian Mining PLC (LON:AAZ) CEO Mohammed Vaziri, the company’s largest shareholder sees 14% reduction in holdings value – Simply Wall St

Key Insights

Every investor in Anglo Asian Mining PLC (LON:AAZ) should be aware of the most powerful shareholder groups. We can see that individual insiders own the lion's share in the company with 40% ownership. Put another way, the group faces the maximum upside potential (or downside risk).

And last week, insiders endured the biggest losses as the stock fell by 14%.

Let's take a closer look to see what the different types of shareholders can tell us about Anglo Asian Mining.

View our latest analysis for Anglo Asian Mining

Institutional investors commonly compare their own returns to the returns of a commonly followed index. So they generally do consider buying larger companies that are included in the relevant benchmark index.

We can see that Anglo Asian Mining does have institutional investors; and they hold a good portion of the company's stock. This implies the analysts working for those institutions have looked at the stock and they like it. But just like anyone else, they could be wrong. If multiple institutions change their view on a stock at the same time, you could see the share price drop fast. It's therefore worth looking at Anglo Asian Mining's earnings history below. Of course, the future is what really matters.

Hedge funds don't have many shares in Anglo Asian Mining. Looking at our data, we can see that the largest shareholder is the CEO Mohammed Vaziri with 29% of shares outstanding. For context, the second largest shareholder holds about 9.4% of the shares outstanding, followed by an ownership of 3.5% by the third-largest shareholder.

On further inspection, we found that more than half the company's shares are owned by the top 6 shareholders, suggesting that the interests of the larger shareholders are balanced out to an extent by the smaller ones.

Researching institutional ownership is a good way to gauge and filter a stock's expected performance. The same can be achieved by studying analyst sentiments. There is a little analyst coverage of the stock, but not much. So there is room for it to gain more coverage.

The definition of an insider can differ slightly between different countries, but members of the board of directors always count. Management ultimately answers to the board. However, it is not uncommon for managers to be executive board members, especially if they are a founder or the CEO.

Insider ownership is positive when it signals leadership are thinking like the true owners of the company. However, high insider ownership can also give immense power to a small group within the company. This can be negative in some circumstances.

Our information suggests that insiders maintain a significant holding in Anglo Asian Mining PLC. It has a market capitalization of just UK90m, and insiders have UK36m worth of shares in their own names. This may suggest that the founders still own a lot of shares. You can click here to see if they have been buying or selling.

The general public-- including retail investors -- own 32% stake in the company, and hence can't easily be ignored. This size of ownership, while considerable, may not be enough to change company policy if the decision is not in sync with other large shareholders.

Our data indicates that Private Companies hold 3.9%, of the company's shares. It's hard to draw any conclusions from this fact alone, so its worth looking into who owns those private companies. Sometimes insiders or other related parties have an interest in shares in a public company through a separate private company.

I find it very interesting to look at who exactly owns a company. But to truly gain insight, we need to consider other information, too. To that end, you should learn about the 2 warning signs we've spotted with Anglo Asian Mining (including 1 which is a bit concerning) .

But ultimately it is the future, not the past, that will determine how well the owners of this business will do. Therefore we think it advisable to take a look at this free report showing whether analysts are predicting a brighter future.

NB: Figures in this article are calculated using data from the last twelve months, which refer to the 12-month period ending on the last date of the month the financial statement is dated. This may not be consistent with full year annual report figures.

Find out whether Anglo Asian Mining is potentially over or undervalued by checking out our comprehensive analysis, which includes fair value estimates, risks and warnings, dividends, insider transactions and financial health.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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Anglo Asian Mining PLC (LON:AAZ) CEO Mohammed Vaziri, the company's largest shareholder sees 14% reduction in holdings value - Simply Wall St

Transforming Claims Denial with AI – MedCity News

Hospitals and health systems, overburdened by pandemic-induced staff shortages, are in need of tech to improve workflows, reduce stress and save money. The claims denial process, which is a significant time suck and prone to errors, is ripe for innovation.

Its estimated that there is more than $200 billion in wasteful spending in healthcare with denied claims a top contributor. By leveraging artificial intelligence, data mining, analytics and automated decision engines, healthcare organizations can streamline many processes and see a major impact in reducing denials in real time.

Experian Health Chief Product Officer, Clarissa Riggins, talked about how Experian is harnessing AI to help speed up and process these requests through its AI Advantage platform. Riggins, who was formerly responsible for product management in the digital health and analytics group at Humana, talked about how AI Advantage has helped speed up prior authorization and claims resubmission utilizing AI.

Asked what causes claims denial, Riggins offered a few reasons. One is pandemic-induced staffing shortages, which continue to stymie providers, large hospitals, and health systems.

Providers are having a hard time retaining staff. This is really where automation and technology can help, Riggins said. The other reason for claims denials is that the pandemic has caused lots of changes to CPT codes. Just trying to keep up with those changes has negatively impacted the claim submission process.

Between March 2020 and March 2022, Experian has recorded more than 100,000 payer policy changes, Riggins said. Claims denial causes could also stem from errors, scheduling issues or registration information. The need to constantly train new staff or work short-staffedhas slowed down submission speed and eats into the efficiency of submitting and resubmitting claims.

If you think about the end-to-end process of revenue cycle management, that is where a lot of them are spending their time. Its just working those claims and, unfortunately, also reworking the denials, Riggins noted.

Riggins described how the AI that forms the base of its claims processing tools works. AI is really about perceiving, inferring and synthesizing information, she explained. Its taking information and data and applying machine learning to train which patterns should be more closely examined and translated into output. This output is specific to AI Advantage.

Their offering covers the pre-claim submission and post-denial processes.

AI Advantage Predictive Denials takes large sets of data, historical claims information, real-time intelligence and predictive modeling. The goal is to prevent avoidable claims denials as well as to help hospital and health system staff prioritize resubmissions in order to remove the guesswork from where they should be prioritizing their time, according to Riggins.

We can arm providers with these insights with the ultimate goal of avoiding unnecessary denials and allowing for greater speed and efficiency with those teams of people. The idea is that these products can be implemented separately or combined for pre-claim submission and post processes.

It also uses historical payment data, said Riggins. The tool looks at each claim and the likelihood of it being denied. It provides important information and data back to the provider about their existing workflow. Its designed to help hospital staff figure out which claim items are the leading cause for these denials well before they are submitted to the payer. That allows the provider to route the claim to the appropriate associate or specialists to intervene, ideally resulting in a clean claim.

Additionally, the triage component of AI Advantage helps providers focus efforts on denials based on their potential and likelihood for yield, automating decision-making. The predictive algorithm evaluates the probability a denial will be overturned and integrates the probability scores directly into existing work queues. This allows providers to focus their efforts on where they are most likely to have a positive result, according to Experian Healths website.

What makes them stand out is the data is tuned, specifically, to a providers denial trends. The idea is that the model is continuously learning and adapting, Riggins said. The biggest takeaway is that the model is really looking at the value, the probability that denial will be overturned and its taking probability scores and integrating them directly into work.

Although AI Advantage is not the only claims-related automation-analysis software on the market, Riggins explained that Experian Healths is more comprehensive than of its any rivals.

Not only do we leverage the historical claim and payment information that is specific and tuned to the providers data set, its flagged as opportunities to manage denials. It also predicts the most likely Claims Adjustment Reason Codes (CARCs) that a payer would have in return when claims are flagged as high probability for denial.

Photo: tumsasedgars, Getty Images

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Transforming Claims Denial with AI - MedCity News

Investigation of the therapeutic role of native plant compounds … – Nature.com

Libraries preparation

A total of 265 medicinal plants were selected and introduced into the ChEBI database to extract the effective compounds. After removing duplicates, 87 potential compounds were obtained from the 265 native plant species. The PharmMapper website has introduced 423 potential target candidates for these compounds. In addition, the NCBI database has introduced 3312 colorectal cancer-related targets. Finally, 34 human protein molecules were selected, which could be targets of these compounds and play a role in colorectal cancer.

Of these compounds, 7 did not have common targets in their top 30 targets. The names and 2D structures of both the groups of compounds used in the screening and their targets are listed in Supplementary Tables S1S3.

A DT network with 87 compounds and 34 targets was constructed consisting of 114 nodes and 416 degrees. The NetworkAnalyser results calculate parameters such as the number of degrees, betweenness, and edge betweenness centrality values, which are used to select the best molecular targets and potential chemical compounds (Fig.1). Figure1A shows a bipartite network configured with node sizes based on the number of degrees; the larger the node size, the greater is the number of associations. Based on the network analysis, the compounds showed degrees ranging from 1 to 8. To screen the best compounds as ligands for molecular docking analysis against targets, compounds with six or more nodes were selected. Therefore, 31 compounds listed in Table 1 were selected for further study. Carbonic anhydrase 2, with a score of 0.44, showed the highest centrality among the targets, followed by mitogen-activated protein kinase 14 (0.14), estrogen receptor (0.07), and angiogenin (0.07). The remaining molecules had a score of less than 0.05. Moreover, Carbonic anhydrase 2 (71), mitogen-activated protein kinase 14 (38), bone morphogenetic protein 2 (35), and estrogen receptor (34) showed the most connections, based on the number of degrees associated with the nodes.

(A) The bipartite DT network. (B) The circle layout of DT network based on degree. (C) The circle layout of DT network based on betweenness centrality. (D) The betweenness centrality of nods. The green circular nodes represent the targets, and the brown triangular nodes represent the chemical compounds. The larger the size of the node, the greater the number of nodes and associations.

Finally, the compounds showed a number of degrees ranging from 1 to 8. To screen the best compounds as ligands for the molecular docking step against the targets, all compounds with six or more nodes were selected, in which there were 31 compounds with six, seven, or eight nodes.

After checking using the GEPIA database, the TOP targets that showed increased expression in colorectal cancer were selected. The target structures were downloaded from the PDB database (PDB IDs: 6AY2 for CTSB, 5T4E for DPP4, 6FVE for MIF, 7AUV for MAPK1, 4QTD for MAPK8, and 1SMO for TERM1). The Chimera 1.8.1 software was used for essential protein preparations, including removing water, ATP, ligands, and adding hydrogen charges. Critical ligand-binding sites were considered and docked to 31 compounds using the PyRx software. 31 molecules were selected after analyzing the pharmacokinetic properties and parameters of ADME. The centroid of the binding sites for the targets was calculated as the coordinates of the centroid of the ligand-binding sites using the UniProt database. The docked complexes were analyzed using PyMol and DiscoveryStudio software. Finally, molecules that presented the highest interaction energy against their target (above 7.5 for TERM1, 8 for CTSB and MIF, above 9 for DPP4 and MAPK1 and above 10 for MAPK8), respectively and had more binding with the amino acids of the binding site in the study with DiscoveryStudio. These findings led to the selection of Multiorthoquinone, Liquiritin, Hispaglabridin A, Isoliquiritin, Gibberellin A98, Cyclomulberrin, Cyclomorusin A, Cudraflavone B for simulation (MD), which produced a more stable complex with a lower energy level than TREM1, MAPK8, MAPK1, MAPK8, CTSB, MAPK1, MIF, and DPP4, respectively. The positions and amino acids involved in the binding are illustrated in Fig.2, 3, 4, 5, 6, 7, 8 and 9, Supplementary Tables S4S6. The RMSD score showed slight fluctuations and was approximately 0.2nm. These findings indicate the stability of the compounds in the target complex. The RMSF values for all protein structures were computed to accurately determine how the binding of the compounds affects flexibility.

Two-dimensional representations of the Multiorthoquinone against TREM1. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Liquiritin against MAPK8. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Isoliquiritin against MAPK8. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Hispaglabridin A against MAPK1. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Cyclomulberrin against MAPK1. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Cudraflavone B against DPP4. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Gibberellin A98 against CTSB. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Two-dimensional representations of the Cyclomulberrin against MIF. (A) Root-mean square deviation of the complexes (RMSD). (B) Radius of gyration (Rg). (C) Hydrogen bond analysis from the simulation system. (D) Root-mean-square fluctuation (RMSF). (E) The binding conformation of 3D view. (F) Binding site interactions of 2D view.

Analysis of the liquiritin- and isoliquiritin-associated RMSF plots revealed that Liquiritin and Isoliquiritin flexibility were significantly different in the five regions of 35, 183, 199, 246, and 307 and two regions in 200 and 328 in MAPK8, respectively. In addition, multiorthoquinone flexibility was extremely high in the three regions 34, 76, and 107 in TREM1, which may be attributed to a lack of interaction between the three regions and multiorthoquinone. For Cyclomulberrin and Hispaglabridin A residues 94320, and 35, 300350 in MAPK1, the flexibility of amino acids was lower and higher, respectively. The RMSF plot associated with DPP4 indicated high interaction between most regions of DPP4 and Cudraflavone B. Additionally, Cyclomorusin A and Gibberellin A98 flexibility were extremely different in the two regions of 5070 and 150170 in the CTSB, and 80100 region in the MIF, respectively.

RG nature was constant for the individual domains during the entire simulation period associated with Gibberellin A98, Cyclomorusin A, and Cudraflavone B, indicating that the individual domains did not melt or unfold. These compounds did not affect the secondary structures of CTSB, MIF, or DPP4. However, the RG value associated with Liquiritin, Isoliquiritin and Hispaglabridin A, Cyclomulberrin throughout the MD simulation led to unfolding and activation of MAPK8 and MAPK1, respectively.

Supplementary Fig. S1 shows the projection of the trajectories on special eigenvectors (vectors 1 and 2) and time-dependent motions of the components in a particular vibration mode. The overall analysis of the eigenvector plots indicated that most vibrations occurred along eigenvector 1. According to the first two PCs, TREM1 and MIF proteins have almost the same trace values of the covariance matrix for the bound and unbound states with a slight shift. This indicates that the ligand is well equilibrated and stabilized with the protein, as reflected by theleast conformational changes due to reduced collective motions from unbound states. However, in other cases, 2D projection plots of the trajectories revealed that the ligand reduced the conformational diversity during the simulations, leading to a more compact cluster distribution. Sampling of different regions and showing different movement behaviors of proteinligand complexes compared to unbound proteins points to the binding of ligand effects on the rigidity of the structural conformation, which also affects the function of proteins.

The MM/PBSA binding free energy results are shown in Table 2 including the van der Waals energy (kJ/mol), electrostatic energy (kJ/mol), polar solvation energy (kJ/mol), SASA energy (kJ/mol), SAV energy (kJ/mol), WCA energy (kJ/mol), and binding energy (kJ/mol), are shown in Table 2. Compared to liquiritin, isoliquiritin had the lowest binding energy score of 183.04kJ/mol interacting with MAPK8 and formed a stronger binding. In addition, hypoglabrin A and cyclomulbrin interact with MAPK1 at almost the same binding energy (154kJ/mol). However, the number of hydrogen bonds in the interaction with hypoglabrin A is relatively high. MIF-Cyclomorusin A, with the most negative energy score (243.768kJ/mol), showed the strongest interaction among all docked complexes.

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Investigation of the therapeutic role of native plant compounds ... - Nature.com

Personal Information of 11 Million Patients Stolen in Data Breach at HCA Healthcare – SecurityWeek

HCA Healthcare on Monday announced that the personal information of roughly 11 million patients was stolen in a data breach.

The incident, the healthcare services provider says, was discovered on July 5, after a threat actor posted on an underground forum information allegedly stolen from HCA Healthcare.

The threat actor posted a list containing names, addresses, birth dates, gender information, phone numbers, email addresses, service dates, and appointment dates, HCA Healthcare says in an incident notice.

The investigation is ongoing and we cannot confirm the number of individuals whose information was impacted. HCA Healthcare believes that the list contains approximately 27 million rows of data that may include information for approximately 11 million HCA Healthcare patients, the company says.

The information was extracted from an external storage location exclusively used to automate the formatting of email messages.

According to the healthcare services provider, clinical information, payment information, or other sensitive information (such as passwords, Social Security numbers, and drivers license numbers) was not stolen in the attack.

According to DataBreaches.net, however, the hackers claim to be in the possession of emails containing health diagnosis that correspond to a client ID.

HCA Healthcare also says that it disabled user access to the compromised storage location immediately after discovering the data breach and that it has found no evidence of malicious activity on its network or systems.

There has been no disruption to the care and services HCA Healthcare provides to patients and communities. This incident has not caused any disruption to the day-to-day operations of HCA Healthcare, the company says.

HCA Healthcare has informed law enforcement of the incident and plans to contact the impacted individuals, but believes that the incident will not have a material impact.

One of the largest healthcare services providers in the US, HCA Healthcare operates 180 hospitals and more than 2,300 ambulatory sites of care across 20 states and the United Kingdom.

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Related: Intellihartx Informs 490k Patients of GoAnywhere-Related Data Breach

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Personal Information of 11 Million Patients Stolen in Data Breach at HCA Healthcare - SecurityWeek

Amid Allen & Co.’s power players, life goes on in Sun Valley – Idaho Mountain Express and Guide

As some of the richest and most influential people on the planet descend on Sun Valley, residents and visitors who end up intermingled among the billionaires and power players hold varying opinions about the annual conference hosted by private investment bank Allen & Co.

I think its incredible, said part-time Sun Valley resident David Dirienzo, who was out for a bike ride around the village Wednesday morning. These are the doers. The creators.

Another resident, picking up his mail at the Sun Valley post office and declining to give his name, said he was not in favor of them coming at all, describing the attendees as arrogant and just throwing their weight around.

Konditorei, which remains open to the public, is something of a central hub to the comings and goings of conference staff, attendees and tourists alike, as well as Sun Valley residents just getting their morning cups of coffee.

There is a general understanding of being respectful toward the conference-goers and giving them privacy, said longtime Wood River Valley resident Doug King.

Beat the traffic: Private jets are the order of the day ahead of Allen & Co.s annual media, business and technology conference in Sun Valley. Once Friedman Memorial Airport reaches capacity, pilots simply drop off attendees and turn around in search of parking.

Its a very important piece of business for Sun Valley, King noted. And while he said it might restrict movement a little, his coffee and newspaper routine was unaffected on Wednesday while the conference attendees gathered nearby in the pavilion for a closed-doors panel discussion.

Its a classic example of, if you let something bother you, its going to bother you, said Elkhorn resident David Wray. Its kind of fun and interesting, and to me, not disruptive. I dont pay much attention; it doesnt really affect my life, but its kind of fun having them around.

Wray noted over the years the security has gotten more stringent, and he cant walk or bike around as freely as he used to.

But the week adds a little excitement and gets the conversation going, said King.

Examining the stock market reports, King and Wray both said the one conference attendee they would like to have join their breakfast table was Berkshire Hathaway CEO Warren Buffet.

On Wednesday, one of the Berkshire Hathaway stocks was valued at over $21,000 a share.

Activision Blizzard CEO Bobby Kotick strolls through Sun Valley Village on July 12.

Hes kind of my hero, Wray said. Hes one of the few guys who made tons of money and has done it above board.

If the opportunity arose, King said hed ask the legendary business magnate, investor, and philanthropist for his thoughts on the railroad business.

Wray said hed ask, Whats the one thing I should consider when investing?

Enjoying coffee and pastries at a table outside the Konditorei, Ketchum firefighters Kjirsten Fieguth and Hannah Baybutt were just getting off a 24-hour shift. Theyd come to Sun Valley to replace a wheel on their rescue litter, a stretcher-like device used to retrieve injured people from single-track mountain bike trails.

Baybutt said she worked as a babysitter for the conference when she was a teenager. Following an intensive interview process and signing her first (and, to date, only) non-disclosure agreement, she said it was a very positive experience.

Allen & Co. did a great job setting up fun things for the kids to do, she recalled.

While Fieguth said she was impressed by the gathered groups influence on the world, on the spot she couldnt think of any questions for attendees.

I feel so detached, she said. Their world is so different than my world. Its hard to relate.

However, both women, who have also worked as ski patrollers, agreed that in terms of the job as emergency responders, they never think about celebrity. No matter who the patient is, we treat them with the same dignity, care and respect, Fieguth said.

Asked what they would do with a billion dollars, Fieguth said she could use a new vehicle, but its hard to imagine that kind of scale.

Baybutt said, Id buy a house in Hailey. I want a home with a yard.

Without a billion dollars, they agreed, they still really love where they live, as well as their jobs.

A jet rolls into the Friedman Memorial Airport ahead of the Allen & Co. conference on July 11.

As breakfast turned to lunch, several hundred conference-goers filed along the road from the pavilion to lunch served under tents next to the duck pond.

A wall constructed with a double layer of potted shrubs and defended by security guards shrouded the luncheon in secrecy.

The media, confined to a pen about 40 yards away from the stream of conference-goers, snapped photographs. A Bloomberg reporter tried to yell a few questions, but he was just too far away. The photographers would quietly call out a name if they saw a notable, largely only identifiable through powerful zoom lenses.

Warren Buffet, with a reported net worth of $114 billion at age 92, had been spotted in a golf cart earlier in the morning, but wasnt seen going to lunch.

Its a whole new cast of characters, one seasoned photographer commented.

So those are the people running the world right there, another bystander mused.

Alex Karp, cofounder and CEO of data mining firm Palantir Technologies and who is reportedly worth $1.4 billion, was one of the few people to walk anywhere near the media pen. Lawyer Bob Werbel walked right behind the pen, joking, Im the only one here Ive never heard of.

Apple CEO Tim Cook was spotted in front of the Sun Valley Lodge.

NFL Commissioner Roger Goodell was seen walking with New England Patriots owner Robert Kraft, who gave a fist bump to CNN analyst Van Jones.

Also spotted were Paramount Global chair Shari Redstone, former Meta COO Sheryl Sandberg, Walt Disney CEO Bob Iger and CNBC host Andrew Ross Sorkin.

While the seeding of high-stakes mergers and acquisitions is typically the hot topic at the conference, this years economic landscape was deemed less favorable to deals. The economys elite may have much to discuss in a year marked by massive layoffs in tech and in newsrooms, the spread of generative AI, and high-profile labor disputes, wrote Sindhu Sundar in Business Insider.

In a town accustomed to celebrity, the Allen & Co. guest list steps things up a notch in terms of gossip around the resort. There was a member of the royal family in the toy store, one shop employee said, but because of the gag order essentially blanketing the whole event, most people are hesitant to name names.

New England Patriots CEO Robert Kraft, left, walks with NFL Commissioner Roger Goodell at Sun Valley Village on Wednesday, July 12.

Back at the Konditorei, part-time Sun Valley resident Maija Eerkes lunched with a couple of visiting friends. The only real inconvenience Eerkes had experienced was not being able to get a parking spot at her Elkhorn mailbox the previous eveningthe lot filled was with black SUVs.

It brings in great revenue and visibility, she said. I have no issue with it. I like how they seem to do wonderful job planning activities for the kids and giving them great exposure to the area.

One of her dining companions was less enthusiastic, saying she really couldnt stand anyone in the Allen & Co. group.

Eerkes said if she could ask someone a question, shed like to know what Amazon CEO Jeff Bezos really thinks about journalism.

While a lot of new people are brought on to help staff the event, coded by different colored lanyards and bright blue jackets, it isnt clear just how many come from other locations and how many are local hires.

Anyone who works for the conference signs a non-disclosure agreement, and while it is an undeniable labor boost, one regular resort employee said the whole ordeal just brought added hassle to performing daily duties.

There are ridiculously high-maintenance requests and demands from some of the attendees, noted the worker, who declined to give a name. There is intense security surveillance on every move made, and, the worker noted, not everyone is impressed by billionaires.

But at Sun Valley clothing retailer Panache, the annual gathering is great for business, and they look forward to the tradition of hosting a trunk show and cocktail party with fashion designer and philanthropist Diane von Furstenberg, who is credited with inventing the wrap dress and is reportedly worth $1.2 billion. The store employees love picking out one of the designers dresses to wearor getting help from the icon herself to choose their perfect floral-printed wrap.

While everyone has an opinion and some with more vested interest than others, on the whole, the non-billionaire and non-millionaire folk who find themselves at the resort during the conference are perhaps slightly entertained and largely indifferent to goings-on. After 40 years of hosting the high and mighty (minus one year cancelled during the pandemic), its really just another busy week in July. And for many residents, the unusual sight of billionaires, CEOs and cadres of private security seems to do little to distract from their morning coffee, and beauty of the valley they see every single day.

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Amid Allen & Co.'s power players, life goes on in Sun Valley - Idaho Mountain Express and Guide

Data Mining Tools Market Set to Reach USD 6.35 Billion by 2032, with 18.2% CAGR: Latest Report – EIN News

data mining tools market size was USD 1.41 Billion in 2022 and is expected to reach a value of USD6.35 Billion in 2032 and register a revenue CAGR of 18.2%

Data mining tools are becoming more widely used as they assist businesses in making data-driven decisions. These tools extract information and patterns from large databases. The growing demand for big data analytics is a key driver behind the market for data mining technologies. As the utilization of big data increases, businesses face challenges in deriving valuable insights from massive datasets.

Data mining technologies enable businesses to leverage insights from big data to enhance their operations. Furthermore, the adoption of cloud-based solutions by businesses is driving the demand for data mining tools. Cloud-based solutions are favored for their ease of use, cost-effectiveness, and scalability.

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The rising demand for predictive analysis is another significant driver for the data mining tools market. Predictive analysis employs statistical algorithms and machine learning methods to identify trends and forecast future events. This type of analysis is particularly valuable in sectors such as healthcare, finance, and marketing, where it can improve patient outcomes, reduce risks, and boost sales.

The emphasis on customer-centric marketing is also fueling the need for data mining technologies. These tools enable businesses to analyze consumer behavior and preferences, allowing them to develop targeted marketing campaigns. This is particularly important in the digital marketing era, where companies must deliver personalized experiences to stand out in a competitive market.

Competitive Landscape:

IBM Corporation Microsoft Corporation Oracle Corporation SAP SE SAS Institute Inc. Teradata Corporation Dell Technologies Inc. RapidMiner Inc. KNIME AG Alteryx, Inc.

Segments Covered in the Report

When examining the deployment types in the data mining tools market, two main categories emerge: on-premise and cloud-based solutions. On-premise deployment refers to the installation and use of data mining tools within a company's own infrastructure, whereas cloud-based deployment involves utilizing these tools through remote servers accessible via the internet.

Regarding the applications of data mining tools, they find utility in various areas. Fraud detection is one key application, where these tools help identify and prevent fraudulent activities within systems and transactions. Marketing is another crucial application, as data mining tools enable businesses to analyze customer data and behavior, facilitating targeted marketing campaigns. Additionally, data mining tools assist in customer segmentation, allowing businesses to divide their customer base into distinct groups based on specific criteria. Predictive maintenance is yet another application, where these tools utilize data analysis to predict and prevent equipment or system failures before they occur. Lastly, there are other miscellaneous applications where data mining tools provide valuable insights and assistance.

Examining the industry verticals, the data mining tools market caters to several sectors. The banking, financial services, and insurance (BFSI) industry heavily relies on these tools for various data analysis tasks. Healthcare is another vertical that benefits from data mining, as it aids in patient data analysis, treatment predictions, and overall operational improvements. The retail sector utilizes data mining tools to understand customer preferences, optimize inventory management, and enhance the overall shopping experience. Similarly, the manufacturing industry utilizes these tools to improve production processes, identify operational inefficiencies, and enhance quality control. Lastly, data mining tools have applications in several other industry verticals, contributing to their growth and effectiveness.

Overall, data mining tools play a pivotal role in various deployment types, applications, and industry verticals. They enable businesses to harness the power of data analysis, leading to improved decision-making, enhanced operational efficiency, and greater customer satisfaction.

Regional analysis provides insights into key trends and demands in each major country that can affect market growth in the region.

North America (U.S., Canada, Mexico) Europe (Germany, U.K., Italy, France, BENELUX, Rest of Europe) Asia Pacific (China, India, Japan, South Korea, Rest of APAC) Latin America (Brazil, Rest of LATAM) Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Key Takeaways of the Competitive Overview Section:

Overview of the company profiles of each market player Industrial chain analysis of each player Revenue share contribution Sales network and distribution channels and net profits and losses of each company Key business growth strategies are undertaken by these players

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Data Mining Tools Market Set to Reach USD 6.35 Billion by 2032, with 18.2% CAGR: Latest Report - EIN News

All permissions and access Threads app requires on iPhone and why – Sportskeeda

Modified Jul 06, 2023 19:39 GMT

The Threads app by Instagram has finally gone official worldwide. Meta's new social media app is available for download to Android and iOS users. However, since the new platform comes from Mark Zuckerberg's Meta, infamous for data mining, there have been a lot of privacy concerns concerning the Threads app. In fact, the application seemed to be embroiled in privacy concerns from the get-go.

Like other apps by Meta, Threads also comes with an entire list of permission and access requests on the iPhone. These include highlighting sensitive data like health and financial data, precise location, and browsing history.

Read on to know what permission and access requests the latest Twitter rival and micro-blogging platform requires on an iPhone.

Leaving the hype surrounding Threads aside, one must be aware that the app comes from Meta, a platform infamous for monetizing user data. Unsurprisingly, the latest Threads app requires many permission and access requests when installed on an iPhone. The list below mentions all Threads permissions required on an iPhone:

The list indicates there is sensitive data that the Threads app requests access to. The good news is that the list above is par for the course for most social media platforms in the market. Simply put, there's nothing new here that users have not already shared with other Meta-owned properties and other social media platforms. However, that doesn't stop Thread privacy concerns from being raised.

Since Threads is a Meta-owned app like Instagram, it will likely run on the same surveillance ads business model, as is evident from the list of permissions. For the uninitiated, Meta generates revenue by tracking and profiling users to grab their attention and monetize it. The company employs behavioral advertising microtargeting tools for this purpose.

Simply put, the Threads app by Instagram is a strong contender for the Twitter-killer tag and has what it takes to become a solid moneymaker for its developer. This is evident from the announcement of the new social media platform acquiring 10 million users within hours of the launch.

However, serious Threads privacy concerns have dampened the spirit, which is why the conversion rate of Instagram followers to Threads followers is slow.

Threads is an extension of Instagram and will use its account's data in accordance with Meta's privacy policy. According to the company, this is necessary to import profile information to a Thread account, personalize its feed, and protect users on both platforms.

According to the company, the data will provide users with a bespoke experience across Instagram and Threads app. The data may include Instagram login credentials, account ID, profile picture, and bio. The app will also access more sensitive on-device data for its ad-tracking model.

The initial euphoria of the new Meta social media platform has somewhat died with these privacy concerns, and the announcement that deleting one's Threads profile might also wipe out their associated Instagram profile.

The good news is that the head of Instagram, Adam Mosseri, has posted on Threads about looking into deleting its account separately. After listening to user feedback, we hope the company addresses any Threads privacy concerns in the future.

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All permissions and access Threads app requires on iPhone and why - Sportskeeda

Google Isn’t Mining Your Docs (Yet), but G/O Media Is All In On AI – Pajiba Entertainment News

A rumor traveled the techier corners of Twitter and other social media sites that Google had updated their Docs Terms of Service to include data mining for the purpose of training their own AI system, Google Bard. It was enough to make Google Docs trend because nothing annoys a nerd like a free service being changed in a way they didnt demand: that, and AI is both dumb and evil. As far as I can tell, the rumor originated with a few confused posters who took secondhand information and ran with it. The primary source appears to be this thread by cybersecurity professor Alvaro Cintas.

Long story short, if youre signed up for Labs and jump through some hoops, you eventually receive access to Google AI tools. You need to sign up for a waitlist and sign your life away first. Its very much an opt-in scenario. So relax! Google isnt reading your smutty Silo-themed fanfic. At least not yet.

But thats the thing; Terms of Service can be updated at any time, and if youve hit that Accept button without reading 47 pages of technical legalese, theres no recourse. Whats being tested in Labs will almost inevitably hit the main Google products, including Docs, Sheets, and Gmail. It will eventually strip every angry email you sent Dustin over his Manifest coverage. Google is hardly alone in encouraging its user base to hand over their every document for examination. Microsoft hyped Office 365 Copilot in March, as they seek more collaboration on their LLM. The last I knew it was still in small-scale testing, but it isnt going away. It makes sense. As AI continues churning out garbage articles on CNET and G/O Media, its corrupting its knowledge base. Its a phenomenon IBM programmer George Fueschel dubbed GIGO back in the 1960s: Garbage In, Garbage Out. The resulting articles are so bad that it took minutes for the Internet to call out Gizmodos new bot.

Io9s actual staff werent part of this decision, nor were they pleased, particularly given the recent layoffs by G/O Media. The GMG Union put out a statement condemning the move, though neither is likely to sway the opinions of G/O executives. Deadspin and A.V. Club posted similar and equally worthless articles.

Google and Microsoft hope your documents and email will provide better data sources than G/O Media has available. My guess which is barely better than someone who brings their laptop to Geek Squad is that both Google Docs and the free version of Microsoft Office 365 will update their ToS to include AI permissions within a few years. Most people will accept it rather than deal with the hassle of switching products. Tools like Grammarly already process your text, which is tech-speak for reading your every keystroke. This wont feel very different to the average user.

Im mostly convinced AI bots will never progress past its current, low-quality call-and-response stage until genuine advances in machine intelligence are made, years from now. I dont think were substantially closer to that than we are to Skynet, the Metaverse, or productive VR. Theres a greater chance its another NFT debacle than anything genuinely innovative. Ultimately itll be consigned to your standard SEO conglomeration sites, or political trash blogs like Gateway Pundit. Short-term, though, its going to cost a lot of jobs. What can you do? Dont accept terms on software that lets them train AI off your work. Dont click on Bot bylines on Gizmodo, A.V. Club, and others. Only read terrible articles written by real people. Thats why were here.

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Google Isn't Mining Your Docs (Yet), but G/O Media Is All In On AI - Pajiba Entertainment News

Emerging Trends in the eDiscovery Landscape – Enterprise Security

Embracing cloud-based models, AI, and workflow automation is essential for legal professionals navigating the challenges and opportunities in eDiscovery.

FREMONT, CA:As we approach a new year, the eDiscovery landscape stands at a significant turning point, driven by the exponential growth of data volumes and the impact of technological advancements.

The future of eDiscovery will be shaped by several key players. Software-as-a-service (SaaS) and cloud-based models are experiencing rapid growth and are expected to surpass traditional IT approaches in the coming years. Artificial intelligence (AI) and other legal technologies have emerged as critical tools for all eDiscovery projects, proving their value.

Legal professionals are embracing these changes and seeking ways to reduce costs, time, and energy not only during and after the review process but also through proactive solutions such as diligent information governance and early case assessment. The challenges in the eDiscovery landscape are threefold. Law firms and corporate legal departments grapple with unprecedented volumes of data from many sources. The sheer magnitude of discoverable data can appear impossible.

This data comes in diverse formats and types. Remote and hybrid work models, which have become prevalent due to the pandemic, have accelerated the adoption of numerous collaboration tools and technologies. Each tool generates its unique format and data type, posing a significant challenge for eDiscovery professionals. Shorter deadlines and tighter budgets are putting increasing pressure on legal professionals. Corporate legal departments, in particular, are expected to adhere to predetermined budgets despite the inherent unpredictability of legal projects, which can rapidly evolve into larger and more complex matters.

Research indicates that by 2023, a third of corporate legal departments will employ legal technology experts to support in-house counsel with workflow automation initiatives.

Workflow automation proves invaluable in eDiscovery, enabling teams to swiftly and automatically identify irrelevant data and reducing the need for time-consuming manual processes. Legal teams must select the most appropriate workflow templates for each project, outlining responsibilities and establishing timelines. Organizations can avoid reinventing the wheel with every undertaking by leveraging successful templates from past projects.

The eDiscovery process is increasingly reliant on artificial intelligence. Data analytics, predictive coding, and advanced algorithms make eDiscovery more effective and efficient than ever. AI is a curator, recommending documents for deeper review, akin to how Netflix suggests new movies or TV shows. A multi-channel orchestrator uses past results and actions to coordinate multiple communication channels.

AI transforms how legal professionals manage discovery, even before the review stage. Modern AI techniques employ data mining to significantly reduce the number of documents requiring review. Moreover, AI can extract new keywords and search terms, identify additional custodians for interviews or legal holds, and continuously enhance the efficiency of the eDiscovery process.

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Emerging Trends in the eDiscovery Landscape - Enterprise Security