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Cost of wildfires

Re: the Aug. 9 article "Wildfire risk map spurs anger, pushback."

Wildfires are part of climate change. The national cost to fight wildfires has averaged over $2.3 billion/year between 2015-20.Property loss and deaths occur in these fires. The article about the Oregon risk map pushback is a sign of the times. People living in those area do not want to pay the costs for greater risk. Insurance premiums are an unaccounted cost in burning fossil fuels. Lloyds of London paid over $130 million in Oregon for wildfires in 2021. Should people living in areas with low risk pay for increased premiums?

Wildfire costs is one more reason that the Inflation Reduction Act is critical. Drought relief will occur and wildfires will decrease in frequency. We should thank our senators for supporting the passage of the bill so we can begin to reverse global warming.

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Inflation Reduction Act

Some assistance and advice, please. The badly misnamed and cruelly misleading Inflation Reduction Act promises to unleash a horde of 87,000 new IRS auditors on unsuspecting taxpayers. In our own backyard, though, our understaffed Border Patrol personnel are working their tails off just to keep the paperwork flowing as literally millions of undocumented newcomers cross our international border. Is something out of whack here? If not, I hereby offer to share my own auditor with other middle-income citizens. I don't think he or she is going to have much to do in harassing me over my modest annual earnings. Is it 2024 yet?

Fraud in the White House

Former President Donald Trump has just shown why he is unfit for any public office. He does not know the difference between the illegal break-in and burglary by the Watergate thieves and the FBI conducting a search based on credible evidence and a judges approval of the warrant previously approved by the director of the FBI and the attorney general of the United States. Trump appointed that judge and the director of the FBI. How many times have we heard him say that only mobsters and the guilty plead the Fifth amendment? He just pled the Fifth 450 times in New York. It is certainly his right to do so, but he said only crooks plead the Fifth. Lastly, the classified information found in his residence is a crime. As a former Air Force officer responsible for handling, storage and safekeeping of classified information, had those documents been in my house I would have been in jail for a long time.

Bad company for US

In the United States and Arizona in particular, the death penalty is legal and carried out. The arguments in its favor, deterrence and retribution, are shaky at best. And some wonder what they say about our cultural values. Another way of evaluating state-sanctioned execution is to look at the nations who support the punishment and those who oppose it. According to deathpenalty.org, nations who have abolished the death penalty include England, Canada, Mexico, France, Italy, Ukraine, Germany, Denmark, New Zealand, and Israel. According to the Stroum Center for Jewish Studies at the University of Washington, the State of Israel is an unusual case. Although the death penalty remains on the books, it has been employed only once, that for the execution of Adolf Eichmann, and never again. On the other hand according to worldpopulationreview.com, nations who employ the death penalty include Afghanistan, China, Iran, Saudi Arabia, Belarus, North Korea, Pakistan and the United States. Just consider.

City Attorney $30,000 payout

Re: the Aug. 8 article "City agrees on $30K payment."

It is bad enough that the Tucson City Attorney's Office paid out $30,000 to two women that based on solid evidence instigated a confrontation with off-duty Tucson Police Officer Robert Szewleski in a restaurant parking lot in 2021. One of the women was initially charged with disorderly conduct but the City Attorney dropped that charge and gave the woman $15,000. What a scam. This cowardly act by the City Attorney's Office, designed to avoid the time, money and risk of litigation, was simply shameful. This case should have gone to trial, which is the job of the City Attorney. That they "walked away" from fighting to support law enforcement also served to embolden others to seek easy money from the City of Tucson. I think the evidence in this matter cleared the officer by the City Attorney's Office and certainly did not warrant a payoff to the instigators.

Let's act smart on global warming

Re: the Aug. 10 article "We must act now on climate emergency."

Greg Falk sets out facts about the rise in global temperatures which are important. However, he omits two critical aspects both of which override anything we here in the U.S. might do.

First, the population in the world is growing too fast and our planet simply cant absorb so many people. The current population is 7.6 billion and is expected to reach another billion by 2030 and 9.8 billion in 2050. Our planet cannot sustain families of five, six, seven and more children. But no one seems to address this issue when discussing global warming.

Second, experts say that unless China and India reduce their carbon emissions, whatever we do in the U.S. will be ineffectual. We should not foolishly adopt measures which hurt us but which are worthless if India and China are not on board.

So focus on reducing world population growth and bring China and India on board for decreasing their carbon emissions.

Pro-life, sometimes

Since the Supreme Court overturned Roe, the Republican Party and legislators have led the fight against abortion (no exceptions). The outrage is that abortion kills a fetus and Republicans are pro-life. But in the last week since the FBI removed classified documents from Mar-a-Lago, fanatic followers of Donald Trump and fervent Republicans are advocating killing FBI agents. Evidently they dont have the sanctity of a fetus. This is horrific and insane rhetoric and behavior. There was a time when the Republican Party was known as the Law and Order Party. They embraced the FBI and championed them cracking down on protestors. It seems now there is nothing pro-life about the Republican Partys view, despite their anti-abortion propaganda. They are now the party of Trump. The only thing Trump is in favor of is: Trump.

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Letters to the Editor: Aug. 22 - Arizona Daily Star

News Analysis

The manifold legal moves undertaken against former President Donald Trump, including the FBIs Aug. 8 raid on his home in Mar-a-Lago, Florida, the Jan. 6 hearings, and the investigation of his business dealings led by New York Attorney General Letitia James, break from long-established protocol about not prosecuting presidents after they leave office and are likely to benefit Trumps standing among supporters in the long term, legal experts say.

As a legal matter, none of these various investigations will keep Trump off the ballot. I dont see it as possible that Trump will be disqualified. The only thing that can keep Trump out of the White House will be the voters, Josh Blackman, a professor at South Texas College of Law Houston, told The Epoch Times.

As anticipation grows over a possible 2024 run for reelection, a flurry of legal developments have occurred in recent weeks, including the raid at the start of last week; Trumps arrival in New York two days later to take part in a deposition concerning his business dealings; an order by the district attorney of Fulton County, Georgia, ordering former New York City mayor and Trump lawyer Rudolph Giuliani to appear before a grand jury looking into claims that Trump sought to overturn the results of the 2020 election; and a judges orderon Aug. 18 that part of the affidavit providing a basis for the search warrant used in the Mar-a-Lago raid could be unsealed.

During the New York deposition, one of the latest steps in a years-long civil suit led by James that has also included subpoenas directed at Donald Trump, Jr., and Ivanka Trump, the former president pled his Fifth Amendment right against self-incrimination.

Given that Jamess campaign against the former president is a civil rather than a criminal investigation, the consequences of the Mar-a-Lago raid and the Jan. 6 hearings are potentially of far more significance for Trump and his expected reelection bid, experts say. A great deal more evidence concerning the Mar-a-Lago raid and Trumps alleged mishandling of classified documents is also still expected to come to light, making assessments of the legal basis for the raid premature at this juncture.

But the Constitution clearly sets forth the requirements for a U.S. presidenta minimum age of 35, and having been born in America and lived in the country for at least 14 yearsand Trump obviously meets these requirements, which no one has the legal authority to change arbitrarily, experts note.

Based on the facts now known, the recent moves against the former president are unlikely to damage his reelection bid and may ironically have the effect of motivating undecided voters who find the efforts to prosecute unseemly and not in keeping with traditional approaches to dealing with ex-presidents, they say.

The Mar-a-Lago raid purportedly sought to retrieve documents that federal authorities had requested for months without success. According to a receipt list unsealed on Aug. 12, federal agents seized11 sets of documents with classified markings or that were confidential or secret.

The raid proceeded on the basis of a longstanding attitude on the part of federal law enforcement that sees the presidency in terms of two separate frameworks, Akram Faizer, a professor of law at the Duncan School of Law at Lincoln Memorial University in Harrogate, Tennessee, told The Epoch Times.

Theres the president, who is a person serving for four to eight years, and then theres the office of the president that continues in perpetuity after the president leaves office. And its not fully resolved, but I believe that the governments understanding is that even after a president leaves office, the documents he has are those of the presidency of the United States, not his own. There are good reasons for that, Faizer commented.

The reasons have to do with the safeguarding of sensitive and classified information whose public accessibility would not serve American interests. Here, the reasons for the governments stance rest on a substantial body of past protocol, Faizer argued. Faizer cited the historical example of the Cuban Missile Crisis, in which then-President John F. Kennedy, Jr., persuaded Soviet Premier Nikita Khrushchev to withdraw Russian missiles from Cuba partly through quid-pro-quo negotiations that included an offer to pull U.S. Jupiter missiles from Turkey and Italy, Faizer said. But the content of these negotiations did not immediately come to light and is still not widely known. They were made available to scholars more than three decades later.

The Kennedy administration never disclosed it publicly, and I dont think any subsequent administrations publicly disclosed it as a matter of U.S. policy. Their explanation was that the missiles were getting old and had to be replaced. But the reality is that we withdraw them, and thats important for the office of the presidency. We didnt want to be seen as undermining an ally, or to convey publicly to the world that we were willing to take a haircut on Turkeys security or our own security, Faizer said.

Having said that, the law with regard to the status of classified information is still not fully settled, Faizer acknowledged. From this point of view, Trumps claims to have unilaterally declassified certain of the documents cannot be dismissed, he said.

The law is kind of open-ended as to whether a president can declassify information. The administrative agencies under the presidents control have procedures to declassify, but I think that is not governed by statute but by executive order, Faizer said.

In agreement with Faizer about the latitude given to presidents and the authority of executive orders is H. Jefferson Powell, a professor of law at Duke University and a former deputy assistant attorney general in the Office of Legal Counsel at the Department of Justice.

The actual classification system itself stems from presidential powers. And while administrative law does limit the presidents discretion, it does so mostly through process. The president has the power to do it, the president has the power to undo it, Powell told The Epoch Times.

On the other hand, presidents can be bound by administrative rules that govern the exercise of their executive power, and presidents are regularly bound by statutes that tell them they may do or not do something. There are procedures that must be followed, and the president cant simply wave a magic wand to make it go away, Powell added.

But in the absence of procedural limits, the president can simply say, Im the source of the classification and Im removing it in this case, he continued.

If Trump took action to declassify the documents while still in office, there may not be much that the Justice Department can do, Powell suggested. It is hard from a legal standpoint to go after a former president for anything he did while in office, as some have sought to do for Trumps alleged disclosure of confidential information concerning ISIS to a Russian foreign minister and ambassador during a White House meeting in 2017, said Powell.

Russia is a hostile power, and I dont have any problem with the notion that it is an impeachable offense to compromise American national security. But that ship has sailed. Theres no current practical question about whether Trump might have committed an impeachable offense while in office, Powell continued.

Given these realities, Faizer thinks it highly unlikely, based on the facts now known, that the Mar-a-Lago raid will result in a prosecution and interfere with or prevent a 2024 run.

I dont think theres enough to prosecute Trump. For a prosecution, there has to be some intent to criminality, and I dont see that there. If Merrick Garland wants to prosecute somebody, he has to get a unanimous jury, crystal clear. Thats hard to do even when someone does something wrong, Faizer said.

If you and I had those documents squirreled away in our apartments, then we could be prosecuted, but were not the president or former president of the United States, he added.

In addition to the difficulties in achieving unanimity among jurors, the question stands as to whether pursuing a former president on such grounds is good form. In Faizers view, the political consequences are likelier to play into Trumps hand than those of his enemies.

Its a good thing that, in our countrys history, typically former presidents are left alone. Former presidents are often opposed to the political agendas of their successors. For example, Barack Obama was very anti-Trump, and Trump has been very vocally hostile to President Biden, too, Faizer said.

You dont want the United States to be like Brazil or Pakistan, where once youre out of office, they put you in jail. It argues against a peaceful transition of power. How do you unanimously convict a man who got 75 million votes? Thats a pretty tall order, he added.

Powell concurred with Faizer that going after a former president will give the appearance of impropriety and will not sit well with many of the voters who will ultimately decide what happens in 2024 and beyond.

Did the former president say certain things and disclose information that he shouldnt have? Thats a constitutional and legal question, but its a different kind of question. Those are both separate from the prudential decision about how to run the Department of Justice or the administration. There are things that might otherwise be appropriate that you might not do because it creates a sense in many people that power is being abused, Powell said.

You cant do your job properly if you are constantly not assuming good faith on the part of policymakers. I read a lot of journals where people make statements [about the issue here]. All I know is that I hope Merrick Garland gave full weight to the prudential reasons not to execute a search warrant, he added.

The civil litigation underway against Trump in New York, which is driven by allegations that Trump and his business associates practiced accounting fraud and misstated the value of assets for financial gain, in reality, has self-serving motives of its own, Michael Alcazar, a professor in the Department of Law, Political Science, and Criminal Justice at CUNY, told The Epoch Times.

Letitia Jamess civil suit appears to be politically motivated. A successful case against former President Trump would be a big boon for her career and her current bid for reelection, Alcazar said.

It seems evident to everyone but James that pursuing this case would be futile since Trump exercised his Fifth Amendment rights. Experts believe that without Trumps testimony, there is no meat to her civil case, he continued.

In Alcazars view, James sees Trump as a political enemy and the civil suit is a means of keeping a hostile media spotlight on the former president during the run-up to November 2024.

James may well push ahead with the litigation, but Trumps lawyers are likely to disavow that their client had knowledge of how financial institutions undertook valuations for Trumps real estate, Alcazar predicted.

This will protect their client from a lawsuit from the attorney general, he said.

The Epoch Times has reached out to the Justice Department and Jamess office for comment.

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Michael Washburn is a New York-based reporter who covers U.S. and China-related topics. He has a background in legal and financial journalism, and also writes about arts and culture. Additionally, he is the host of the weekly podcast Reading the Globe. His books include The Uprooted and Other Stories, When We're Grownups, and Stranger, Stranger.

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Attempts to Prosecute Trump 'Not Prudential' and Will Backfire, Legal Experts Say - The Epoch Times

Digital mental health company Cerebral is using a machine learning algorithm to help pinpoint patients in crisis. And the recently unveiled initiative is just the beginning of Cerebrals use of machine learning-enabled solutions, according to the company.

Machine learning (ML) and artificial intelligence (AI) are critical tools in the advancement of mental health care, but these benefits are only possible at scale, a team of Cerebral researchers explained in a company post. Both technologies require many data points to test and validate hypotheses in order to prove that the systems are working effectively.

Dubbed the Crisis Message Detector 1 (CMD-1), the newly touted tool is designed to identify messages from patients experiencing a mental health crisis, then refer those patients to a crisis response specialist.

Specifically, the tool was trained to spot signs of suicidal ideation, homocidal ideation, non-suicidal self-injury or domestic violence, according to the company post. If a patients messages to Cerebral have been flagged, a specialist will reach out directly and assess the patients risk level.

This mental health professional will then be able to call emergency contacts or local responders, if needed.

Cerebral is pitching this as an alternative to relying on patients to call 911 if there is an emergency. The company claims the tool is accurate in properly identifying individuals in crisis.

During a week-long pilot, CMD-1 screened over 60,000 EMR messages and flagged more than 500 potential crises, the Cerebral researchers wrote. The model successfully detected over 99% of all crisis messages and, as a result, crisis specialists were able to respond to patients in less than 9 minutes on average.

Cerebral receives several thousand patient messages each day via its online chat system or mobile app. The company says that somebody from the patients care team reviews and addresses those messages, but that human-led process isnt always as fast as it needs to be.

The company plans to expand its machine learning initiatives in the upcoming months and focus on issues such as response times for medication concerns, scheduling issues and general support requests.

Because of Cerebrals experience serving a quarter-million people (and counting), we are uniquely suited to develop and implement cutting edge ML/AI tools to supplement the expertise of our clinicians and help improve clinical outcomes, the companys post added.

CMD-1 is being rolled out nationally and will be available 24/7.

In addition to demonstrating the companys interest in ML and AI, the patient-identification tool is also reflective of its previously discussed commitment to quality control moving forward.

Earlier this year, Cerebral came under fire for its prescribing practices of controlled substances. In June, news surfaced that the Department of Justice (DOJ) launched an investigation into the company based on a potential violation of the Controlled Substance Act.

In turn, the digital health company changed up its leadership team. Founder Kyle Robertson stepped down as CEO, and Chief Medical Officer Dr. David Mou took on the role.

I will say that we have made mistakes, Mou said at the American Telemedicine Association conference in May. And Ill also admit that we will continue to make mistakes and learn.

Cerebral also announced layoffs for July 1. In June, Mou told BHB that the layoffs were reflective of the companys priorities to keep behavioral health front and center while moving into value-based care.

As for the future, the company is looking to treat serious mental illness (SMI) and developing its value-based care proposition, Mou previously told BHB.

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Cerebral Uses Machine Learning to Identify Patients in Mental Health Crisis, Vows 'Just the Beginning' for AI Investments - Behavioral Health Business

Artificial intelligence and ML are making considerable inroads in finance. They are the critical aspect of variousfinancial applications, including evaluating risks, managing assets, calculating credit scores, and approving loans.

Businesses use AI and ML:

Taking the above points into account, its no wonder that companies like Forbes and Venture beat are usingAI to predict the cash flow and detect fraud.

In this article, we present the financial domain areas in which AI and ML have a more significant impact. Well also discuss why financial companies should care about and implement these technologies.

Machine learning is a branch of artificial intelligence that allows learning and improvement without any programming. Simply put, data scientists train the MI model with existing data sets and automatically adjust its parameters to improve the outcome.

According to Statista, digital payments are expected to show an annual growth rate of 12.77% and grow to 20% by 2026. This vast number of global revenues, done online requires an intelligent fraud system.

Source: Mordor Intelligence

Traditionally, to check the authenticity of users, fraud-detection systems analyze websites through factors like location, merchant ID, the amount spent, etc. However, while this method is appropriate for a few transactions, it would not cope with the increased transactional amount.

And, analyzing the surge of digital payments, businesses cant rely on traditional fraud-detection methods to process payments. This gives rise to AI-based systems with advanced features.

An AI and ML-powered payment gateway will look at various factors to evaluate the risk score. These technologies consider a large volume of data (location of the merchant, time zone, IP address, etc.) to detect unexpected anomalies, and verify the authenticity of the customer.

Additionally, the finance industry, through AI, can process transactions in real-time, allowing the payment industry to process large transactions with high accuracy and low error rates.

The financial sector, including the banks, trading, and other fintech firms, are using AI to reduce operational costs, improve productivity, enhance users experience, and improve security.

The benefits of AI and ML revolve around their ability to work with various datasets. So lets have a quick look at some other ways AI and ML are making roads into this industry:

Considering how people invest their money in automation, AI significantly impacts the payment landscape. It improves efficiency and helps businesses to rethink and reconstruct their process. For example, businesses can use AI to decrease the credit card processing (gettrx dot com card processing guide for merchants) time, increase automation and seamlessly improve cash flow.

You can predict credit, lending, security, trading, baking, and process optimization with AI and machine learning.

Human error has always been a huge problem; however, with machine learning models, you can reduce human errors compared to humans doing repetitive tasks.

Incorporating security and ease of use is a challenge that AI can help the payment industry overcome. Merchants and clients want a payment system that is easy to use and authentic.

Until now, the customers have to perform various actions to authenticate themselves to complete a transaction. However, with AI, the payment providers can smooth transactions, and customers have low risk.

AI can efficiently perform high volume; labor-intensive tasks like quickly scrapping data and formatting things. Also, AI-based businesses are focused and efficient; they have minimum operational cost and can be used in the areas like:

Creating more Value:

AI and machine learning models can generate more value for their customers. For instance:

Improved customer experience: Using bots, financial sectors like banks can eliminate the need to stand in long queues. Payment gateways can automatically reach new customers by gathering their historical data and predicting user behavior. Besides, Ai used in credit scoring helps detect fraud activity.

There are various ways in which machine learning and artificial intelligence are being employed in the finance industry. Some of them are:

Process Automation:

Process automation is one of the most common applications as the technology helps automate manual and repetitive work, thereby increasing productivity.

Moreover, AI and ML can easily access data, follow and recognize patterns and interpret the behavior of customers. This could be used for the customer support system.

Minimizing Debit and Credit Card Frauds:

Machine learning algorithms help detect transactional funds by analyzing various data points that mostly get unnoticed by humans. ML also reduces the number of false rejections and improves the real-time approvals by gauging the clients behavior on the Internet.

Apart from spotting fraudulent activity, AI-powered technology is used to identify suspicious account behavior and fraudulent activity in real-time. Today, banks already have a monitoring system trained to catch the historical payment data.

Reducing False Card Declines:

Payment transactions declined at checkout can be frustrating for customers, putting huge repercussions on banks and their reputations. Card transactions are declined when the transaction is flagged as fraud, or the payment amount crosses the limit. AI-based systems are used to identify transaction issues.

The influx of AI in the financial sector has raised new concerns about its transparency and data security. Companies must be aware of these challenges and follow safeguards measures:

One of the main challenges of AI in finance is the amount of data gathered in confidential and sensitive forms. The correct data partner will give various security options and standards and protect data with the certification and regulations.

Creating AI models in finance that provide accurate predictions is only successful if they are explained to and understood by the clients. In addition, since customers information is used to develop such models, they want to ensure that their personal information is collected, stored, and handled securely.

So, it is essential to maintain transparency and trust in the finance industry to make customers feel safe with their transactions.

Apart from simply implementing AI in the online finance industry, the industry leaders must be able to adapt to the new working models with new operations.

Financial institutions often work with substantial unorganized data sets in vertical silos. Also, connecting dozens of data pipeline components and tons of APIS on top of security to leverage a silo is not easy. So, financial institutions need to ensure that their gathered data is appropriately structured.

AI and ML are undoubtedly the future of the financial sector; the vast volume of processes, transactions, data, and interactions involved with the transaction make them ideal for various applications. By incorporating AI, the finance sector will get vast data-processing capabilities at the best prices, while the clients will enjoy the enhanced customer experience and improved security.

Of course, the power of AI can be realized within transaction banking, which sits on the organizations usage. Today, AI is very much in progress, but we can remove its challenges by using the technology. Lastly, AI will be the future of finance you must be ready to embrace its revolution.

Featured Image Credit: Photo by Anna Nekrashevich; Pexels; Thank you!

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AI and Machine Learning in Finance: How Bots are Helping the Industry - ReadWrite

It is hard to classify documents. At least manually.

Imagine this: you head into a standard bookstore where pieces are supposed to be classified as genres like thriller, romance, science fiction, and more. You want to pick Andy Weirs Hail Mary a novel with thriller/mystery and science fiction elements.

While the book choice seems on point, the question is: which genre should you head towards? The book can be on the science fiction shelf or on the thriller counter. It can be anywhere. And that is when the manual document classification becomes troublesome.

Sweating already? Fret not, as machine learning is here to help. Not to throw shade at the manual document classification, but they can be tedious if you plan on looking at a world outside books including inventories and databases.

Yet, document classification with machine learning can be a game changer, courtesy of the relevant and available technologies like NLP, Robots, Sentiment Analysis, OCR, and more.

Lets take a deeper dive into all of these.

Simply put, document classification is the automation process where relevant/classifying documents are stacked into relevant classes or even categories.

Often regarded as one of the sub-domain of text classification, an oversimplified version of document classification means tagging the docs and setting them right into predefined categories for the purpose of easy maintenance and efficient discovery.

In hindsight, the process is simple. Its all about extracting and retrieving information. Yet, due to the sheer size of data sets, companies often need to rely on deep learning and machine learning technologies to get ahead of document classification, albeit with a focus on speed, accuracy, scalability, and cost-effectiveness.

And just to mention, document classification can be considered a sub-domain of IDP or intelligent document processing. But more on that later.

As for the approach, document classification takes the text and visual classification techniques into consideration primarily for analyzing the document-specific phrases and also the visual structure.

Visual and text classification can help companies classify every kind of document (stills, pictures, large data modules, and more) with ease.

Short story: intelligent models scan through structured, unstructured, and even semi-structured documents to match them with the corresponding categories.

Long story: The following machine learning techniques are put to use for classifying documents according to categories:

Regardless of the approach, businesses need to find a good way to classify documents as going manual can be time-consuming, erroneous, and obviously hard.

However, if you are looking for broader shades in regards to the process, here are the steps associated with an automated and efficient document classification process:

Theoretical discourse is all cool, but what about the use-cases for document classification. We have it all sorted for you.

Opinion Classification: Businesses use this feature to segregate positive reviews from negative ones.

Spam Detection: Have you ever thought about how your email provider separates standard emails from spam emails? Well, document classification is the answer.

Customer support classification: A random day in the life of a customer support executive can be stressful. Document classification helps them understand the tickets better, especially when the request volume far exceeds their patience.

In addition to the mentioned use cases, document classification can also be used for social listening, document scanning, and even object recognition.

Every organization is information-dependent. Yet, every kind of information isnt meant for everyone. This is the reason why document classification becomes all the more important helping organizations collect, store, and eventually classify details as per requirements. And if you are still a manual evangelist, remember one thing: automation is the key to the future.

About the author: Vatsal Ghiya is a serial entrepreneur with more than 20 years of experience in healthcare AI software and services. He is the CEO and co-founder of Shaip, which enables the on-demand scaling of our platform, processes, and people for companies with the most demanding machine learning and artificial intelligence initiatives. Linkedin: https://www.linkedin.com/in/vatsal-ghiya-4191855/

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What is document classification, and how can machine learning help? - Robotics and Automation News