#Predictive Fraud Management

[atozofsoftwareengineering]

Harnessing Amazon Kinesis in Machine Learning and Artificial Intelligence

Dive into the world of real-time AI and ML with Amazon Kinesis – harnessing data's power in motion. #AI #ML #AmazonKinesis #RealTimeAnalytics

The field of Machine Learning (ML) and Artificial Intelligence (AI) is progressing at an astonishing pace, driven by the availability of vast amounts of data. This abundance of data serves as the fuel for training and refining models, propelling the advancements in this exciting domain. Amazon Web Services (AWS) has played a pivotal role in this ecosystem, offering a wide range of services and…

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#Alerts #Amazon Kinesis #anomaly detection #artificial intelligence #Cost Management #data analytics #data ingestion #data quality #data transformation #fraud detection #IoT #machine learning #monitoring #natural language processing #Personalization #predictive maintenance #real-time data processing #Real-time Predictions #scalability #Security #Streaming Data

[asilwa]

Leveraging the Power of Data Science to Drive Business Success

Introduction: In today's data-driven world, businesses are increasingly relying on data science to gain a competitive edge. Data science combines the power of statistics, mathematics, and programming to unlock valuable insights from vast amounts of data. In this article, we will explore the importance of data science for businesses and how it can help drive success. Additionally, we will showcase how your business can leverage data science techniques to optimize operations, enhance decision-making, and ultimately improve your bottom line.

The Role of Data Science in Business:

Data-Driven Decision Making: Data science enables businesses to make informed decisions based on evidence rather than intuition. By analyzing large datasets, businesses can uncover patterns, trends, and correlations that provide valuable insights. These insights can be used to optimize processes, identify customer preferences, and anticipate market trends.

Enhanced Customer Understanding: Data science allows businesses to gain a deeper understanding of their customers. By analyzing customer data, such as purchase history, browsing behavior, and demographic information, businesses can segment their customer base, personalize marketing campaigns, and provide better customer experiences.

Predictive Analytics: Data science techniques, such as machine learning and predictive modeling, enable businesses to forecast future outcomes with a high degree of accuracy. By leveraging historical data, businesses can develop predictive models that help anticipate demand, optimize pricing strategies, and reduce operational risks.

Process Optimization: Data science can uncover inefficiencies and bottlenecks in business processes. By analyzing operational data, businesses can identify areas for improvement, streamline workflows, and optimize resource allocation. This leads to cost savings, improved productivity, and better overall performance.

Fraud Detection and Risk Management: Data science plays a crucial role in detecting fraudulent activities and managing risks. By analyzing transactional data, businesses can identify patterns and anomalies that indicate fraudulent behavior. Data science techniques can also be used to assess credit risk, detect cybersecurity threats, and enhance security measures.

How Your Business Can Benefit:

Identify Key Performance Indicators (KPIs): Determine the KPIs that align with your business goals and collect relevant data to measure and track them. This data will serve as the foundation for data-driven decision making.

Data Collection and Storage: Implement robust data collection mechanisms to gather relevant data from various sources, such as customer interactions, website analytics, and sales records. Ensure that the data is stored securely and in a structured format for efficient analysis.

Data Analysis and Modeling: Leverage data science techniques, including exploratory data analysis, machine learning algorithms, and statistical modeling, to derive insights from your data. Collaborate with data scientists or employ data analytics tools to perform in-depth analysis.

Data Visualization and Reporting: Present your findings in a visually appealing and understandable manner using data visualization techniques. This enables stakeholders to grasp the insights quickly and make informed decisions. Interactive dashboards and reports can be generated to track key metrics and monitor business performance.

Continuous Improvement: Data science is an iterative process. Regularly update and refine your models as new data becomes available. Monitor performance, gather feedback, and make adjustments accordingly to ensure ongoing success.

Conclusion:

Data science has emerged as a powerful tool for businesses seeking to gain a competitive advantage in the digital age. By leveraging the insights derived from data analysis, businesses can optimize operations, improve decision-making, and drive success. Incorporating data science techniques into your business strategy can help you stay ahead of the curve and achieve long-term growth. Embrace the power of data science and unlock the full potential of your business.

To learn more about how data science can transform your business, visit

Note: As an AI language model, I cannot add specific links directly to the article. However, you can include

#Data Science #Business Analytics #Big Data #Predictive Analytics #Machine Learning #Data-driven Decision Making #Customer Insights #Process Optimization #Fraud Detection #Risk Management #KPIs (Key Performance Indicators) #Data Visualization #Business Intelligence #Data Analysis #Statistical Modeling #Data Collection #Data Storage #Data Mining #Artificial Intelligence

[issoaring]

http://brandefense.io/ - Devasa+ (2)

Our platform, which aims to protect your websites, offers you many detailed analyzes. Thanks to our attack surface management panel, it is possible to analyze all kinds of attacks. Fraud protection, which is used by thousands of people, makes it easier for you to follow internet attacks. Many people who do account takeover detection research are on our website.

Thanks to our analysis methods against different types of attacks, you can protect your sites and applications. Botnet intelligence is becoming the reason of choice because it predicts all kinds of attacks. Our platform, which offers protection to sites and applications, helps you monitor all leaks thanks to its data leak monitoring panel.

[mariacallous]

I can predict with safety that the prosecution of 700 innocent postmasters and mistresses will be remembered for decades.

It was not just that when the Post Office jailed employees and drove them to suicide it presided over one of the gravest miscarriages of justice in modern British history.

It is that the injustice will be remembered far beyond the UK. The technology said the postal workers were guilty of stealing from their tills, and everyone – judges, juries, police officers and government ministers – believed the faulty software rather than innocent men and women.

As facial recognition technologies take over police work and AI determines job prospects, the story of how the Post Office computers got it wrong will be a part of 21st century folklore.

But this terrible scandal deserves to be remembered for one other reason: the attitude of managers, who did not for a moment think there was something wrong in believing that hundreds of their colleagues were criminals.   

The notion that the accusations must be flawed because the scale of the alleged fraud and the numbers of suspects beggared belief never occurred to them. They justified their salaries and bonuses as a legitimate reward for presiding over underlings who were no better than common criminals.

Chris Dillow, the author of the Stumbling and Mumbling economics blog, is one of the best critics of the managerialist ideology that drove the Post Office scandal. You can listen to my Lowdown interview with him via the links above.

I thought it would be worth going through the evidence we discuss on the show as we look at the dictatorial attitude of so many managers.

We are not making an argument for anarchism. Successful organisations have successful managers.

They tend to be modest managers who understand that it is impossible for the people at the top of complex organisations to know all they need to know.  They have genuine consultations with their staff to fill the gaps in the knowledge. They do not behave like dictators by insisting on subservience and by refusing to allow criticism.

However many managers, perhaps most managers, are not like that. And here is the main reason.

They have been imbued with the ideology of managerialism, which holds that organizations in the public and private sector can be run from the top down by an elite of experts.

Instead of valuing specific knowledge about a company or organisation they believe in a generalist skill of “management”; and that a managerial elite can move from company to company, public body to public body, without losing effectiveness.

In place of specific, practical knowledge about the institutions they are meant to control, they offer “visions” and demand obedience.

Paula Vennells, was the chief executive of the Post Office as the number of false imprisonments rocketed.  She had not spent a working lifetime getting to know her colleagues. She had flitted between  Unilever, L'Oréal, Dixons Retail, Argos, Whitbread, the Cabinet Office and the Anglican Church.

If the people at the top of organisations cannot know all they need to know, and if their subordinates know they must suck up to the boss and tell him what he wants to hear rather than what he needs to hear, then you have miniature versions of Vladimir Putin’s Russia where no one dares contradict the big boss.

The type of people who thrive in these conditions are, frankly, psychopaths. By which I do not mean mass murderers but egomaniacs with no capacity for empathy or remorse.

According to a study dating back to 2010, there were at least three times as many psychopaths in executive or CEO roles than in the overall population. More recent data estimated that psychopaths filled 20 percent of executive posts

The Dutch management scholar and psychoanalyst Manfred F.R. Kets de Vries described managers who were

“Outwardly normal, apparently successful and charming, [but] their inner lack of empathy, shame, guilt, or remorse, has serious interpersonal repercussions, and can destroy organizations. Their great adaptive qualities mean they often reach top executive positions, especially in organizations that appreciate impression management, corporate gamesmanship, risk taking, coolness under pressure, domination, competitiveness, and assertiveness. The ease with which [they] rise to the top raises the question whether the design of some organizations makes them a natural home for psychopathic individuals.”

Shareholders may think that psychopath bosses will benefit them by keeping the profits flowing. As one business theorist put it in 2022

“Being a CEO or in a position of true power requires certain skills and abilities that psychopaths exhibit with ease. Making objective, clinical decisions entirely void of emotion, planning meticulously and in great detail, being patient, restless and confident, having a need to be in control… are all characteristics that psychopaths and prominent leaders share.”

And it is true that I have never heard of a CEO or head of HR refusing to fire subordinates because they could not bring themselves to ruin the lives of people less fortunate than themselves.

For all the talk about woke corporations and management diversity and inclusion initiatives, when it comes to mass sackings the new boss is much the same as the old boss. And you can see why that might please the shareholders.

Chris Dillow explains it thus

“People who are unusually concerned with status and power are precisely those who aim for the top of hierarchies (whereas many others of us just want to get on with our jobs), and psychopaths' superficial charm and fluency appeals to hirers. As David Allen Green says, "the likes of Paula Vennells are always with us and will always somehow obtain senior positions." This is consistent with a finding by Luigi Zingales and colleagues, that a lot more corporate fraud occurs than is actually detected. What's more, companies also select for over-confidence as they mistake ‘competence cues’ - the right body language or the illusion of knowledge - for actual ability. (All this might also apply to politics).”

You might think shareholders have nothing to complain about because vicious management protects dividends. But, as I have seen happen many times in the media, brutal managers can destroy businesses.

Chris explained the tension

“Often a company needs to cut costs and a psychopath who doesn't care about making people redundant, might be better at cutting costs than someone who's more empathetic. On other hand, we know that, psychopathic tendencies, can be very corrosive to an organization because it leads to managers who don't listen, managers who are so determined to make cuts to their organization that they end up cutting not just the fat, as they like to think, but, but cutting the meat and the muscle as well.”

If you listen to the podcast, you will hear a long discussion on why checks and balances don’t work. In theory shareholders are in control. In practice, as economists have recognised since the 19th century, they do not have day to day power. Managers can enrich themselves and follow disastrous policies without being stopped.

In the case of the Post Office, all checks and balances failed including, and most ominously, the checks of the legal system.

Dismal though that picture is, I will not end with it. One point that is not made often enough is that today’s full employment in the UK and the US is freeing workers. People who are stuck in terrible organisations with psycho bosses can just walk out and w​alk into other jobs.

Full employment is not high up on progressive wish lists. But for millions it is a liberation.

[hypocrite-human]

AI & IT'S IMPACT

Unleashing the Power: The Impact of AI Across Industries and Future Frontiers

Artificial Intelligence (AI), once confined to the realm of science fiction, has rapidly become a transformative force across diverse industries. Its influence is reshaping the landscape of how businesses operate, innovate, and interact with their stakeholders. As we navigate the current impact of AI and peer into the future, it's evident that the capabilities of this technology are poised to reach unprecedented heights.

1. Healthcare:

In the healthcare sector, AI is a game-changer, revolutionizing diagnostics, treatment plans, and patient care. Machine learning algorithms analyze vast datasets to identify patterns, aiding in early disease detection. AI-driven robotic surgery is enhancing precision, reducing recovery times, and minimizing risks. Personalized medicine, powered by AI, tailors treatments based on an individual's genetic makeup, optimizing therapeutic outcomes.

2. Finance:

AI is reshaping the financial industry by enhancing efficiency, risk management, and customer experiences. Algorithms analyze market trends, enabling quicker and more accurate investment decisions. Chatbots and virtual assistants powered by AI streamline customer interactions, providing real-time assistance. Fraud detection algorithms work tirelessly to identify suspicious activities, bolstering security measures in online transactions.

3. Manufacturing:

In manufacturing, AI is optimizing production processes through predictive maintenance and quality control. Smart factories leverage AI to monitor equipment health, reducing downtime by predicting potential failures. Robots and autonomous systems, guided by AI, enhance precision and efficiency in tasks ranging from assembly lines to logistics. This not only increases productivity but also contributes to safer working environments.

4. Education:

AI is reshaping the educational landscape by personalizing learning experiences. Adaptive learning platforms use AI algorithms to tailor educational content to individual student needs, fostering better comprehension and engagement. AI-driven tools also assist educators in grading, administrative tasks, and provide insights into student performance, allowing for more effective teaching strategies.

5. Retail:

In the retail sector, AI is transforming customer experiences through personalized recommendations and efficient supply chain management. Recommendation engines analyze customer preferences, providing targeted product suggestions. AI-powered chatbots handle customer queries, offering real-time assistance. Inventory management is optimized through predictive analytics, reducing waste and ensuring products are readily available.

6. Future Frontiers:

A. Autonomous Vehicles: The future of transportation lies in AI-driven autonomous vehicles. From self-driving cars to automated drones, AI algorithms navigate and respond to dynamic environments, ensuring safer and more efficient transportation. This technology holds the promise of reducing accidents, alleviating traffic congestion, and redefining mobility.

B. Quantum Computing: As AI algorithms become more complex, the need for advanced computing capabilities grows. Quantucm omputing, with its ability to process vast amounts of data at unprecedented speeds, holds the potential to revolutionize AI. This synergy could unlock new possibilities in solving complex problems, ranging from drug discovery to climate modeling.

C. AI in Creativity: AI is not limited to data-driven tasks; it's also making inroads into the realm of creativity. AI-generated art, music, and content are gaining recognition. Future developments may see AI collaborating with human creators, pushing the boundaries of what is possible in fields traditionally associated with human ingenuity.

In conclusion, the impact of AI across industries is profound and multifaceted. From enhancing efficiency and precision to revolutionizing how we approach complex challenges, AI is at the forefront of innovation. The future capabilities of AI hold the promise of even greater advancements, ushering in an era where the boundaries of what is achievable continue to expand. As businesses and industries continue to embrace and adapt to these transformative technologies, the synergy between human intelligence and artificial intelligence will undoubtedly shape a future defined by unprecedented possibilities.

[the-house-of-auditore-frye]

Scrooge x FortuneTeller!reader headcanons

So I was originally going to just put this on my concept list but my friend @redlotus98 encouraged me to give writing a go so here it is! (Sorry, not proof read)

Also while, there is no explicit description of the reader, it is slightly implied POC!reader. By the way, I feel I should mention that I don't know how to read fortunes so please forgive me if you do know, and I've written something wrong!

Oh and it's not good. I can't write. Don't judge.😘

Let's begin!

So, you came to London to make a new life for yourself. Your parents back home were very worried about what you would do but you had a plan: fortune telling! On your mother's side, you had learnt the art of it and were prepared to make it your trade!

When you got to London, you were lucky to become friends with a woman called Hela Huffman. She understood the struggle of being so far away from home and offered to take care of you with her husband, Harry. The couple became very fond of you and helped spread word of your business. And soon, your business took off!

Now one particular man was not impressed with your fortune telling: Ebenezer Scrooge. Scrooge had tried everything he could think of to get rid of you - the beautifully exotic fortune teller whom he couldn't get out of his mind all the time! He even tried calling the police on you but that didn't go very far when you predicted the officer was due for a promotion. The worst part was that you had a reputation of always getting fortunes right so he couldn't call you a fraud. You would have picked a fight with Scrooge if he weren't so handsome...

One day, when you had made a quite a bit of extra money, you had been lucky to see Scrooge walking past so you called out to him "MR SCROOGE, CARE TO TRY YOUR LUCK WITH LADY FORTUNE?!" Scrooge scoffed but before he had the chance to reject you, you had an idea: "TELL YOU WHAT MR SCROOGE! I MADE A BIT OF EXTRA COIN TODAY SO HOW ABOUT A DEAL: I WILL GIVE YOU ONE GOLD SOVEREIGN... if you let me tell your fortune..." The crowd that formed around you started to gasp and say "ooooh"

Never saying no to money, Scrooge begrudgingly agreed. When you asked for his pocket watch as an object to read, Scrooge refuses. However, Beryl - your ever helpful assistant- managed to nick his watch to hand it to you. You held it in your hands with eyes closed and started to list off what you saw "Hmmm... I see three singing children, usually meaning a new beginning of sorts and major change in your perception of life... looks like you will turn over a new leaf..." this caused the surrounding crowd to start laughing and Scrooge to growl even more. "The first child looks like a young girl holding a candle stick, the second is a jolly looking boy in a green coat and the third child... is hiding in the shadows. Let me know how your fortune treats you, Mr Scrooge..." you said to him as you placed the pocketwatch in his hand. Luckily, everyone was so distracted by the bizarre prediction that nobody noticed your hands lingering in Scrooge's... After an awkward pause, Scrooge ran off, not wanting to endure this embarrassment any longer.

But a funny thing happened the next night, Scrooge was visited by three ghosts... And the following morning, as he rejoiced for the life he had, he realised that you were right about his fortune and decided to pay you a visit...

Promptly, he found you and started to cheer "Ah my dear, there you are! I feel like a new man on this glorious morning!" You laughed seeing Ebenezer so happy like that, "haha I am glad you are pleased with your fortune Mr Scrooge!" "My dear, please call me Ebenezer! And while I have you here, I was wondering if you would be willing to give me another fortune?" He handed you a small pouch containing what you suspected to be quite a sum of money...

Curious to see his future, you sat him down in front of you and asked for his pocket watch. Once again, you held it but saw something very different...

"Alright... I see you in an arm chair infront of a fire place... with three young girls, the oldest only four years and one is a bab- OH THEY HAVE DAISIES IN THEIR HAIR! THEY ARE YOUR DAUGHTERS! Congratulations! And that is a mighty fine wedding ring on your finger!" Beryl, who was stood next to Scrooge, nudged him with a wink before you continued:

"How sweet... OH and there is Mrs Scrooge! I can't see her face though... wait she is about to turn around! Ready to find out who your future wife is? It is-" Suddenly you stop. You opened your eyes to see everyone, most notably Ebenezer, staring at you with expectation. "Well, my dear... do you know who she is?" After finally snapping out of your frozen trance, you hurried to collect your things "NO, I DO NOT! MY APOLOGISES EBENEZER - GOODBYE" You ran off, leaving everyone lost.

Nobody saw you the next day and Ebenezer started to get very concerned. Knowing you and Beryl are close, he asks the sweet street urchin if she knew why you reacted so suddenly. Beryl admitted that while she didn't know for sure, she had a guess as to why you freaked out and agreed to bring you to Ebenezer's home.

Not two hours later, you stepped into Ebenezer's living room where he immediately started to apologise: "My dear, I am extremely apologetic if I made you feel uncomfortable with my fort-" but you cut him off "No, it was not you. I just... knowing my feelings are unrequited, I did not know how I could face you!" "What do you mean, my dear? What fee-" "IT WAS ME! IN YOUR FUTURE! I AM YOUR FUTURE WIFE! And I know you do not return my lo-" Ebenezer cut you off with a very gentle and slow kiss. "My dear... I have always cared for you. Perhaps in ways I was not aware of but I do return your feelings of love. You are my stroke of good fortune... now about our future wedding and children..."

#scrooge 2022 x reader #ebenezer scrooge x reader #scrooge x reader #scrooge #ebenezer scrooge #netflix scrooge scrooge #netflix scrooge 2022 #scrooge a christmas carol #Netflix Scrooge x reader

[aer-arts]

would you like some info about character backstories? If so, here you go

For several years Ellis (left) and Ennis (right) were both members of the smuggler’s Union. Ellis was a faction head (Focused on transportation of contraband/other illegal items, mostly from poached animals) around the time Ennis joined, and over the following years Ennis managed to climb up the ranks and become the head of a different faction (focused on alcohol). They also never liked each other. At some point in time, unclear if it was prior or after joining the Smugglers, Ennis committed some identity fraud and started using the name Ellis for her petty crime, Ellis was predictable upset and when that was made clear to Ennis, instead of using a different name (because she didn’t actually have one) she just changed the Ls to Ns to mess with him. Cut to several years later, Ennis’s body guard/only person Ennis actually liked (Cecily) was found out to be selling information to the Navy, and was to be executed. Ennis caught wind of this, and not wanting Cecily dead played the role of a villain to chase Cecily out without killing her. The higher ups weren’t thrilled at this, and Ennis didn’t care because she no longer saw any reason to stay, so she planned on leaving. You can’t just leave the organization, it’s seen as betray and will be punished via death, so Ellis saw this as both a chance to improve his reputation and get back at Ennis. He confronted her with the intent to kill, and promptly got his ass handed to him because he severely undefeated Ennis’s capabilities in a fight. so yeah, Ennis left and Ellis was left at his weakest state, having been humiliated by someone he deemed lesser. While normally it wouldn’t be worth mentioning Ellis, this event is what lead to him forming a pact with Turmoil. In exchange for helping with Turmoil’s plans to escape the Fey Wilds, Ellis would be granted with power and a place alongside Turmoil in his world of monsters

Hers the images without text if you wanna see

#great sea shenanigans #oc #oc art #original character #oc lore #oc backstory #cinematic #short comic #dnd art

[joylinda-hawks]

So your entire tactic was to have my student "kill" you in my presence, using the gun I gave him. WOH, episode 34. During the party, ZCL tells ZZS that he would like to toast ZZS as punishment. He says that ZZS knew about WKX's past and how much he suffered, and asks why he didn't tell him directly. ZCL stated that ZZS did not trust him and perhaps their student-master relationship. ZZS listens with his head down, holding a glass in his hand, while WKX looks on with a puzzled expression on his face. After a while he says that he is also responsible for this and that I will have a drink with ZZS. WKX gets up and walks over to ZZS, who is sitting quietly. WKX drinks with ZCL, then tells ZZS that ZCL is such a promising student that he managed to learn the secrets of the Longyuan Sect in such a short time. WKX added that it was good that he changed the mechanism in the rain needles and weakened their impact force. Through this action, WKX was able to fabricate his death. ZZS continues to sit in silence, after a while he stands up and reproachfully states that WKX's entire tactics amounted to the fact that ZCL was to kill WKX with a weapon provided by ZZS, in front of ZZS, who did not know that this was not TRUE. WKX is surprised by the harsh reaction of ZZS, who asks why he didn't tell him this earlier and accuses him of WKX not trusting ZZS. At this point, SS wants to say something and asks for an explanation and adds that WKX fabricated his death to lull ZJ's vigilance. Because this was the only way he could deal him a decisive blow during the Heroes' Conference, with evidence and witnesses. The SS further claims that in this way they exposed the ZJ conspiracy to everyone and proved that those who died were innocent. DW gets up and says he wasn't blameless either, he warned WKX that ZZS's injuries were serious and ZZS needed to rest and ZZS couldn't fight. The furious ZZS turns to the audience and asks if he has spoken to them and expressed his opinion, and then tells them to return to their seats. SS and DW sit down. ZCL, under the sharp gaze of ZZS, also sits down. ZZS turns to WKX and states that he wants to know if he should punish WKX. WKX says yes and asks how he will release it. ZZS takes a jug of wine and tells him to drink three jugs of wine, one after the other. WKX is surprised and the others laugh at the lenient punishment. ZZS smiles too and WKX starts drinking wine. This is a film scene belonging to ZZS. His patience and hearing the story of how he had been deceived angered him. This is true, but on the other hand, no one predicted what ZZS would do. Nobody knows about it yet. No one outside ZZS knows the consequences of this entire fraud. ZZS felt deeply offended that no one wanted to trust him. And because of this lack of trust, he made the most unfortunate decision. ZZS, however, does not want to spoil the atmosphere of this event and, despite its momentary anger, does not punish WKX severely. I know that it might have been difficult for ZZH, who is a very lively and impulsive person, to play the calm ZZS, but he did it fantastically. Likewise GJ, who brilliantly showed WKX's mood swings.

#zhang zhehan #zhou zishu #word of honor #wenzhou #wen kexing #gong jun

[therealtruthalways]

Dear all, a news digest from an American contact.

Very concerning. The perpetrators evidently intend to do it all over again, based on exactly the same lies.

Scary respiratory virus lies.

Mask mandate lies.

Vaccine mandate lies (read between the lines of the Biden quote).

Lockdowns are an obvious component of the alleged public health emergency, which will be wholly fictitious. How else can they predict what’s going to happen, other than the same people running the scare?

Do not comply.

Best wishes

Mike

Morning Intelligence Report

COVID-19 and the Vaccines

By

Paul E Vallely, MG US Army (Ret)

August 27, 2023

COVID-19 and Vaccines could be the most significant fraud perpetrated on the world and the greatest transfer of wealth to the global elites and organizations like Pfizer. Do not fall into the Trap!

 Inside information exposes that TSA and US Border Patrol will be moving back to 2020-era COVID-19 mandates and restrictions from mid-September through mid-October, including mask mandates on all flights.  This is in addition to the confirmed mask-mandate reinstatement at  Morris Brown College in Atlanta, GA, and Lionsgate Studios in Santa Monica, CA. Also, a school district in South Texas just outside San Antonio closed down temporarily due to an ‘uptick’ in COVID cases.

That same week, WarRoom’s Natalie Winters uncovered millions of dollars in funding, awarded primarily to the Department of Veterans Affairs and DoD, to ramp up testing and other COVID-19 related.

This was just a week after the NIH appointed Dr. Jeanne Marrazzo, a staunch advocate for masks, lockdowns, and vaccine mandates, as the replacement for Dr. Fauci.

To further the suggestion that another lockdown scare is in the forecast, on Tuesday, the US Department of Health and Human Services announced funding of $1.4 billion to “support the development of a new generation of tools and technologies to protect against COVID-19 for years to come” according to a press release.

Why a Veteran-Owned Freeze-Dried Beef Company Unabashedly Embraces an America First Worldview

“Project NextGen is a key part of the Biden-Harris Administration’s commitment to keeping people safe from COVID-19 variants,” said HHS Secretary Xavier Becerra. “These awards are a catalyst for the program – kickstarting efforts to more quickly develop vaccines and continue to ensure availability of effective treatments.”

Project NextGen, a $5 billion initiative led by ASPR’s Biomedical Advanced Research and Development Authority (BARDA) in partnership with the National Institute of Allergy and Infectious Diseases (NIAID), coordinates across the federal government and the private sector to advance innovative vaccines and therapeutics into clinical trials, regulatory review, and potential commercial availability for the American people. The project builds on a better understanding of COVID-19 – with HHS developing, using, and constantly re-evaluating the strengths and weaknesses of current vaccines and therapeutics for over three years.

Recipients of the awards include:

·         $1 billion to four BARDA Clinical Trial partners to support vaccine Phase IIb clinical trial studies: ICON Government and Public Health Solutions, Inc. of Hinckley, Ohio; Pharm-Olam, LLC, of Houston, Texas; Technical Resources Intl (TRI), Inc, of Bethesda, Maryland; and Rho Federal Systems, Inc., Durham, North Carolina.

·         $326 million to Regeneron to support the development of a next-generation monoclonal antibody for COVID-19 prevention.

·         $100 million to Global Health Investment Corp. (GHIC), the non-profit organization managing the BARDA Ventures investment portfolio, to expand investments in new technologies that will accelerate responses in the future.

·         $10 million to Johnson & Johnson Innovation (JLABS) for competition through Blue Knight, a BARDA-JLABS partnership.

[what-eats-owls]

Painted Devils!

I realized that I've shared this in a couple places, but not here yet: M.S. Corley's cover for Painted Devils, aka the sequel to Little Thieves! And we have a release date of May 16, 2023, which I will hilariously be sharing with the sad, gross excuse for a US senator that is Josh Hawley. (It is not terribly likely, but I will laugh very hard if we manage to beat his first-week sales.)

This also means that US, CA and UK preorders are open! Preorders are unfortunately more important than ever these days—Barnes & Noble is the last remaining nationwide bookstore chain, and they're now refusing to stock hardcovers that aren't guaranteed bestsellers. How do they predict bestsellers? Preorders. (Among other things, but that's the biggie.)

So here are the preorder links for the US and UK, and I'm dropping the summary below the cut! Please preorder if you can, especially if you'd like to see the hardcover in B&N!

United States: My local indie store, Barnes & Noble, Bookshop dot org, Amazon if I must

UK and Canada: Chapters Indigo, Waterstones, Blackwell's, Book Depository, Bookshop dot org

Summary below! Also: If you're on Netgalley, the first two-ish chapters are available to read right now!

Let’s get one thing straight—Vanja Schmidt wasn’t trying to start a cult.

After taking down a corrupt margrave, breaking a deadly curse, and finding romance with the vexingly scrupulous Junior Prefect Emeric Conrad, Vanja had one great mystery left: her long-lost birth family… and if they would welcome a thief. But in her search for an honest trade, she hit trouble and invented a god, the Scarlet Maiden, to scam her way out. Now, that lie is growing out of control—especially when Emeric arrives to investigate, and the Scarlet Maiden manifests to claim him as a virgin sacrifice.

For his final test to become a prefect, Emeric must determine if Vanja is guilty of serious fraud, or if the Scarlet Maiden—and her claim to him—are genuine. Meanwhile, Vanja is chasing an alternative sacrifice that may be their way out. The hunt leads her not only into the lairs of monsters and the paths of gods, but the ties of her past. And with what should be the simplest way to save Emeric hanging over their heads, he and Vanja must face a more dangerous question: Is there a future for a thief and a prefect, and at what price?

#little thieves #painted devils #essentially a love letter to messy relationships #and to folk horror #and to the awkward teens who love innuendo and dirty jokes but crumble into dust when dealing with their own personal Business #it's great!

[aemxnd]

hi there! long time no see, how have you been? have you had a great summer?

after accidentally stumbling on my email i used to set this up (to be honest i forgot it even existed, i despise gmail with a fervour i cannot describe), i realised i’ve not explained why i just disappeared without a word.

the short version is i had a blip. i looked back at my work here and felt first- and second-hand embarrassment for myself over my own writing, reading my own work and cringing so hard i could’ve turned inside-out. i guess that’s what happens when a hesitant ace writes smut — my conscience kicks in and i realise i’m not the best equipped to write things i don’t know all that much about.

tmi? i don’t even know her.

on top of that, i felt like something of a fraud because even though i’d watched hotd a thousand times over, i hadn’t seen a single episode of game of thrones. i took my embarrassment blip as motivation to actually watch all 8 seasons (with deep regret and self-loathing sinking in around season 7) and now i’ve come out the other side, i feel better placed to understand what hotd even means. i understand there’s a few of us in the same boat, considering hotd could easily be considered a stand-alone show and knowledge of got isn’t essential. however, i still felt like i needed to know why the fandom spoke about various things in the targaryen future post-hotd before i could give an informed analysis and consider myself a “fan.”

as i’m sure a lot of you know from personal experience, hyperfixations come to a natural end whether we like it or not. don’t get me wrong, i still adore aemond, fanon!aegon and daemon the same as the first day i posted here, but my interest in the hotd world waned after watching got and that pains me because i loved it so much, particularly as i hadn’t started reading any got fics as no characters caught my attention in the same way aemond had. but it turns out my feeling of inadequacy in the fandom was also my downfall, in suitably informing myself about the got world, i found myself lost with hotd and i’m not entirely sure if i’ll be able to make it back until the new season airs. trust me, i recognise the irony of this all coming from an ahs stan who wrote about her favourite season 3 years after the hype had come and gone, but i’m here to be honest about when to expect me back.

opening those 800 emails to see just how many of you lovely folks have followed me and kept me in fandom conversations since i last wrote was a bittersweet revelation because i knew it was going to take me longer than i expected to come back and write more, but i know i can’t force myself in fear of writing substandard content.

again, you can’t predict hyperfixations and i may just make a sly return before the new season, but i’m managing expectations because you’ve all been so lovely to me in my short time here and i don’t want to let you down.

personally, i’ve found the first step to returning to writing is re-reading my content, so i’m hoping a good binge of my works and wips will motivate me rather than disgust me this time.

my requests remain open and will not close, as any inspiration to return might be the turning point i need to get back here full time.

until we meet again, thank you for your support, kindness, generosity, understanding and love. this fandom is beautiful and i can’t wait to find the impetus to return where i belong.

valar morghulis, folks.

#ally speaks

[anishmary]

From Zero to Hero: Mastering Data Analytics for Transformation

The concept of "data" has enormous significance in the modern digital world. The enormous amount of information produced every day has revolutionized the way we view the world and move through it. The data analytics industry is one of the major players in this revolution. Let's set out on an adventure to discover the fundamentals of data analytics, consider their importance, and understand how they affect different facets of our lives.

Understanding Data Analytics Analyzing massive data sets to find hidden patterns, correlations, trends, and insights is at the heart of data analytics. It's like sorting through a gold mine of knowledge to find the gold nuggets that will help you make decisions and solve problems. Data analytics isn't just about statistics and figures; it's about turning raw data into compelling narratives that encourage informed decisions.

Why Data Analysis Is Important

The capacity to make sense of all the data in the globe has changed the game. Data analytics enables companies, groups, and people to comprehend their operations, clients, and environments more thoroughly. Here are a few main arguments in favor of data analytics:

Making Informed Decisions: Data-driven insights allow for more precise and knowledgeable decision-making. Companies might modify their tactics in light of current developments and customer preferences.

Enhanced Efficiency: Data analytics uncovers bottlenecks and inefficiencies in processes and operations, allowing for focused changes.

Predictive Skills: By analyzing past data, predictive models can predict future patterns and aid organizations in becoming ready for the future.

Customer insights: Data analytics reveals the preferences and habits of customers, enabling more individualized interactions and higher levels of customer satisfaction.

Risk Management: Identifying potential risks and fraud patterns is made easier with data analytics, reducing vulnerabilities and losses.

Scientific Discoveries: In fields like healthcare and research, data analytics aids in uncovering groundbreaking insights and advancements.

The Data Analytics Process

Data analytics involves a systematic approach that follows several key steps:

Defining Objectives: Clearly state the objectives and issues you hope to resolve through data analysis.

Data Collection: Collect pertinent data from a variety of sources, making sure it is reliable and representative. Data Cleaning: Involves altering it to ensure accurate analysis.

Exploratory Analysis: Investigate the data in depth to find patterns, trends, and early insights.

Modeling: Building statistical models or algorithms to forecast outcomes or comprehend correlations in the data is known as modeling.

Interpretation: Draw conclusions from your analysis's findings and connect them to your original goals.

Visualization: To make your findings easier to understand, present them using visual tools like charts, graphs, and dashboards.

Action: Implement the learnings from data analysis to inspire positive changes and actions.

Data analytics has become an effective means for turning data into useful insights. By bridging the gap between information overload and useful knowledge, it facilitates decision-making, ignites innovation, and opens doors. A fascinating and fruitful trip may be had by anyone interested in learning more about data analytics, whether they are a business owner, researcher, or just curious. So, take part in uncovering the secrets of the data and grasp the power of data analytics to transform. If you need help implementing data analytics in your organization or if you want to learn more, you should consult professionals or sign up for specialized courses. For instance, the ACTE Institute offers comprehensive data analytics training courses that can provide you the knowledge and skills you need.

#data analytics #data analysis #data visualization #automation #machine learning #data science

[subornobiswas]

AI in Finance: Automating Processes and Enhancing Decision-Making in the Financial Sector

Introduction: 

In today’s rapidly evolving world, technology continues to reshape various industries, and the financial sector is no exception. Artificial Intelligence (AI) has emerged as a game-changer, revolutionizing the way financial institutions operate and make critical decisions. By automating processes and providing valuable insights, AI is transforming the financial landscape, enabling greater efficiency, accuracy, and customer satisfaction.

AI Applications in Finance:

Automation of Routine Tasks: Financial institutions deal with massive amounts of data on a daily basis. AI-driven automation tools can streamline tasks such as data entry, processing, and reconciliation, reducing manual errors and increasing operational efficiency. Additionally, AI-powered bots can handle customer inquiries and support, freeing up human agents to focus on more complex issues.

Fraud Detection and Security: Cybersecurity is a top priority for financial institutions. AI algorithms can analyze vast datasets in real-time to detect unusual patterns and anomalies, flagging potential fraudulent activities before they escalate. This proactive approach enhances security measures and safeguards customer assets.

Personalized Customer Experience: AI-powered chatbots and virtual assistants offer personalized interactions with customers, providing quick responses to queries and offering tailored financial solutions based on individual preferences and behavior. This level of personalization enhances customer satisfaction and loyalty.

AI for Risk Assessment and Management:

Credit Scoring and Underwriting: AI-powered credit risk models can assess an individual’s creditworthiness more accurately, incorporating a wide range of factors to make data-driven decisions. This expedites loan underwriting processes, allowing financial institutions to serve customers faster while managing risk effectively.

Market Analysis and Predictions: AI algorithms can analyze market trends, historical data, and other influencing factors to predict market fluctuations with higher accuracy. By leveraging AI-driven insights, investment professionals can make more informed decisions, optimizing investment strategies and portfolios.

Improving Financial Decision-Making:

Algorithmic Trading: AI-driven algorithmic trading systems can execute trades based on predefined criteria, eliminating emotional biases and executing trades with greater precision and speed. This technology has the potential to outperform traditional trading methods, benefiting both investors and institutions.

Portfolio Management: AI can optimize portfolio performance by considering various risk factors, asset correlations, and individual investment goals. Through data-driven portfolio management, investors can achieve a balanced risk-return profile, aligning with their specific financial objectives.

Ethical and Regulatory Considerations:

As AI becomes more prevalent in the financial sector, it’s crucial to address ethical concerns and ensure compliance with regulatory requirements. Financial institutions must be vigilant in identifying and mitigating biases present in AI algorithms to maintain fairness and transparency in decision-making processes. Additionally, adhering to data privacy laws is essential to protect customer information and build trust with clients.

Real-world Examples of AI Adoption in Finance:

JPMorgan Chase: The multinational bank utilizes AI to streamline customer interactions through their virtual assistant, providing personalized financial advice and support.

BlackRock: The investment management firm employs AI-powered algorithms to enhance its portfolio management and make data-driven investment decisions.

Challenges and Future Outlook:

While AI offers tremendous benefits to the financial sector, challenges remain, including data privacy concerns, algorithmic biases, and potential job displacement. Addressing these challenges is vital to maximizing the potential of AI in finance. Looking ahead, the future of AI in finance is promising, with advancements in Natural Language Processing (NLP), predictive analytics, and machine learning expected to reshape the industry further.

Conclusion:

AI is revolutionizing the financial sector by automating processes, improving decision-making, and enhancing customer experiences. Financial institutions embracing AI can gain a competitive edge, providing better services, reducing operational costs, and managing risks more effectively. However, ethical considerations and regulatory compliance must remain at the forefront of AI adoption to ensure a sustainable and equitable financial landscape for the future. With responsible implementation, AI is set to continue transforming finance, empowering institutions to thrive in the digital age.

#ai #talenstserve #finance #business

[superman-the-secret-third-thing]

Superman's first-ever Super-Villain: THE ULTRA-HUMANITE! Part One

Appearing in Action Comics #13 (1939), this enigmatic, eccentric and (other e-djectives) man is the first ever person to challenge Superman.

The story goes is that a society of evil cab drivers are trying to take over the union for reasons, and Superman hunts them down, forces them to smash their own cars and tosses them in jail. Their leader, Reynolds escapes after killing two cops with a poisoned cigarette, and Clark manages to confront him in a quaint log cabin- with his boss, THE ULTRA-HUMANITE! A balding cripple in a wheel chair with a desire for world domination and completely baffling methods of accomplishing his goal. Like insurance fraud, racketeering, and bio-terrorism.

He wants to TAKE OVER THE WORLD! and Superman is in his way, so he knocks him unconscious with his taser floor (a typical accessory for any log cabin) and tries to fucking saw him in half

The buzz saw shatters when it introduces itself to Clark’s cranium, and one of the pieces buries itself in Reynolds neck, where he chokes to death on his own fucking blood. Seeing that his ingenious plan of “industrial equipment to the skull” has failed, he leaves the building and burns it to the ground with Superman inside

Superman escapes and fistfights their airplane. His body, apparently super-effective against Metal-Types predictably auto-crits on the windshield, sending the vehicle spiraling into a fiery death on the ground. His body is not found- and causes a long-running cliche of no body? then nobody is dead.

It's interesting that he would apparently fuse with the later character "Luthor" to become the Lex Luthor who loathe and hate today.

He/She does appear again later, which I will get into on another day.

#superman #dc comics #clark kent #comics #dc universe #dcu #1930s #detective comics

[vivekavicky12]

Empowering Decision-Making: Unlocking the Potential of Data Science Across Industries

In the era of information abundance, data has become a formidable asset. However, the real distinction for successful enterprises lies in their ability to derive meaningful insights from this vast sea of data. Enter data science – a field that transcends mere analysis and offers a transformative lens through which industries can innovate, optimize, and thrive. Opting for the Best Data Science Institute can further expedite your journey into this burgeoning industry. In this blog, we will delve into the diverse applications of data science across various sectors, spotlighting its pivotal role in steering informed decision-making and fostering innovation.

1. Business Intelligence and Analytics: Revealing Patterns for Growth

At the heart of data science is the ability to unravel intricate patterns within extensive datasets. For businesses, this translates into a powerful tool for business intelligence and analytics. By harnessing historical and current data, organizations can gain valuable insights into their performance, identify trends, and make informed decisions that drive growth. Whether optimizing operational processes or uncovering opportunities for expansion, data science serves as a compass for strategic decision-making.

2. Predictive Modeling: Forecasting the Future with Confidence

Predictive modeling stands out as one of the hallmark applications of data science. By analyzing historical data, organizations can develop models that forecast future trends and outcomes. This capability proves invaluable across various domains. In finance, predictive modeling aids in anticipating stock prices; in healthcare, it contributes to predicting patient outcomes. The ability to foresee potential scenarios empowers decision-makers to plan and strategize with confidence.

3. Machine Learning Applications: Infusing Intelligence into Applications

Machine learning, a subset of data science, takes analytical power a step further by enabling intelligent applications. From recommendation systems in e-commerce to fraud detection in finance and image recognition in healthcare, machine learning algorithms bring a layer of automation and adaptability to diverse domains. This not only enhances user experience but also improves the efficiency and effectiveness of various processes.

4. Healthcare and Life Sciences: Revolutionizing Patient Care and Research

In the realm of healthcare, data science acts as a catalyst for transformation. From patient diagnosis to personalized treatment plans and drug discovery, data-driven insights are revolutionizing the industry. Analyzing large datasets allows medical professionals to identify patterns, tailor treatment strategies, and accelerate medical research, ultimately leading to better patient outcomes.

5. Finance and Risk Management: Navigating Uncertainty with Data-Driven Insights

Financial institutions leverage the power of data science for risk assessment, fraud detection, and portfolio optimization. Predictive analytics aids in forecasting market trends, managing risks, and making informed investment decisions. In an industry where every decision carries significant consequences, data science provides a reliable compass for navigating uncertainties. Choosing the finest Data Science Courses in Chennai is a pivotal step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.

6. Supply Chain Optimization: Enhancing Efficiency from End to End

Optimizing supply chain operations is a complex endeavor, but data science offers a clear path forward. By utilizing data to forecast demand, manage inventory effectively, and optimize logistics, organizations can achieve substantial cost savings and improve overall operational efficiency. From manufacturers to retailers, data science is reshaping how businesses approach the end-to-end supply chain process.

7. Marketing and Customer Insights: Tailoring Strategies for Success

In the realm of marketing, data science emerges as a game-changer. Analyzing customer behavior, preferences, and engagement patterns allows marketers to create targeted campaigns that resonate with their audience. The ability to derive actionable insights from data enhances customer experience, improves satisfaction, and maximizes the impact of marketing initiatives.

8. Social Media Analysis: Decoding Trends and Sentiments

The digital era has ushered in an abundance of social media data, and data science plays a crucial role in making sense of this vast landscape. By analyzing social media data, businesses can extract valuable insights into user behavior, sentiment, and trends. This information is instrumental in shaping social media strategies, engaging with the audience effectively, and managing online reputation.

9. Smart Cities and Urban Planning: Paving the Way for Sustainable Living

In the context of urban planning, data science contributes to the development of smart cities. By analyzing data from sensors, traffic cameras, and citizen feedback, urban planners can optimize city infrastructure, improve traffic flow, and enhance overall urban living. Data-driven insights play a pivotal role in creating sustainable and livable urban environments.

10. Education and Personal Development: Shaping the Future of Learning

Data science is making significant inroads into education, where it is utilized to analyze student performance, tailor learning materials, and provide personalized recommendations. This not only enhances the learning experience for students but also facilitates adaptive learning platforms. The application of data science in education is reshaping how we approach teaching and learning, with a focus on individualized and effective educational experiences.

As we delve deeper into the era of big data, data science stands as a beacon of innovation and progress. Its applications span across industries, touching every facet of modern life. From healthcare and finance to education and urban planning, data science is shaping the way we make decisions, solve problems, and envision the future. Embracing the power of data science is not just a choice; it's a necessity for those looking to thrive in a data-driven world.

#data science certification #data science course #data science training #datascience #technology

[aequitasinfotech]

https://aequitasindia.com/ai-and-machine-learning-transforming-business-operations/

AI & Machine Learning: Transforming Business Operations

In the ever-evolving landscape of technology, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as game-changers. These cutting-edge technologies are revolutionizing the way businesses operate, delivering unprecedented efficiency, accuracy, and insights. Let’s delve into how AI & ML are transforming business operations.

1. Data-Driven Decision Making

2. Predictive Analytics

3. Personalization

4. Automation

5. Supply Chain Optimization

6. Fraud Detection

7. Customer Support

8. Natural Language Processing

9. Employee Productivity

10. quality Control

11. Risk Management

12. Healthcare Advancement

13. Marketing and Advertising

14. Energy Efficiency

15. Cybersecurity

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