37 AI content generators to explore in 2025
NLP For Email Marketing: Training Program For New Business Owners Announced
Business Startup Support announced a new training program that teaches participants how to streamline their marketing efforts using AI-driven natural language processing.
Memphis, United States, April 12, 2025 /NewsNetwork/ -- The marketing experts are offering this new training to teach business owners how to use the technology to foster a sense of connection between a brand and its customers while increasing both brand engagement and customer loyalty.
More details can be found at https://businessstartupsupport.Com/ai-improves-email-marketing-with-personalization-techniques/
Natural language processing (NLP) is a subset of artificial intelligence that focuses on teaching AI to read and write human language, promoting more intuitive and efficient communication between machines and humans across a wide range of applications. Recent advancements in NLP have made the technology significantly more effective at completing the types of cognitive and creative tasks that AI used to struggle with.
"NLP enables the creation of dynamic content that adapts to the recipient's preferences, behavior, and even their emotional state," the company says. "By analyzing past interactions, NLP can help suggest tailored messaging, subject lines, and even specific products that are more likely to resonate with an intended audience."
As part of the training, business owners are taught how to use NLP to create highly personalized emails, taking note of details such as personal interests, past interactions with the brand, and even their emotional state.
Business Startup Support also offers access to tools that can help companies further improve their email marketing strategies. These include machine learning to analyze client data, drawing upon behavioral insights to accurately segment an audience, and AI-driven predictive analytics to create tailored recommendations.
Business Startup Support also helps companies utilize AI for A/B testing for email campaigns, helping them decide on the best times to send emails for maximum engagement and higher response rates.
Business owners can request access to the company's Moonshot Premium Newsletter here https://businessstartupsupport.Com/moonshot-premium-newsletter
"AI enables small businesses to compete more effectively with larger firms by offering personalized experiences that enhance customer engagement and loyalty. Additionally, automation features reduce the time and resources needed to manage email marketing, allowing business owners to focus on other growth aspects," the spokesperson added.
Interested individuals can find more information on artificial intelligence for email marketing by visiting https://businessstartupsupport.Com/
Contact Info:Name: Andrew MartinEmail: Send EmailOrganization: Business Startup SupportAddress: 2323 Madison Avenue, Memphis, TN 38104, United StatesWebsite: https://businessstartupsupport.Com/
Release ID: 89157466
John Snow Labs Integrates Select Guideline Central Content To Streamline Clinical Guideline Compliance With A New AI-Enhanced Knowledge Agent
LEWES, Del., April 01, 2025 (GLOBE NEWSWIRE) -- John Snow Labs, the AI for healthcare company, is now incorporating select Guideline Central content, introducing a turnkey AI solution designed to simplify and enhance clinical decision-making. By leveraging John Snow Labs' advanced medical Large Language Models (LLMs) with select content from the largest guideline library in the world, healthcare providers can automatically access accurate, current, and actionable recommendations to promote guidelines-based decision making for improved patient outcomes. This will be introduced today in a session at the Healthcare NLP Summit.
Healthcare organizations are increasingly required to adhere to complex standards and performance measures to comply with quality initiatives, pay-for-performance programs, and payer guidelines. However, many providers lack the time and resources to keep up with frequently changing industry standards, and thus, the ability to act upon an appropriate next step for each unique patient case.
This solution ensures that providers can confidently determine the evidence-based next-best action for each patient—saving time while improving compliance and patient outcomes. With the ability to be used as a standalone tool for clinicians and medical societies or an embeddable module for Electronic Health Record (EHR) and Clinical Decision Support (CDS) vendors, integration is seamless.
Key features include:
"Guideline Central works with with approximately 50 medical associations to curate a library of the most comprehensive guidelines in existence, but because guideline content is mostly unstructured and spread across multiple platforms and locations, it's impossible for providers to read in their entirety or easily access the specific information they need," said David Talby, CEO John Snow Labs. "With our state-of-the-art medical LLMs, any healthcare organization can leverage the power of AI to access select guidelines-based best practices."
"The ability to quickly find and identify the key takeaways and recommendations from clinical guidelines is critical for all healthcare organizations to ensure the most optimal care is offered," said Vickie Reyes, Director of Clinical Informatics, Guideline Central. "John Snow Labs' licensed use of the select Guideline Central Pocket Guide content helps deliver the most current guidelines to healthcare providers in a way that's fast, intuitive, and simple to integrate."
To learn more about this turnkey AI solution, register for the Healthcare NLP Summit or tune into the recording of John Snow Labs' and Guideline Central's session after the show.
About Guideline CentralGuideline Central is dedicated to providing healthcare professionals with evidence-based clinical decision-support tools that are current, practical, and easily accessible. Guideline Central partners with approximately 50 medical societies and government agencies to provide quick-reference tools that physicians can rely on for credible guidance in the management of a medical condition. For more information about licensing Guideline Central content visit GuidelineCentral.Com/contact.
About John Snow LabsJohn Snow Labs, the AI for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations put AI to good use. Developer of Medical LLMS, Healthcare NLP, Spark NLP, the Generative AI Lab No-Code Platform, and the Medical Chatbot, John Snow Labs' award-winning medical AI software powers the world's leading pharmaceuticals, academic medical centers, and health technology companies. Creator and host of The NLP Summit, the company is committed to further educating and advancing the global AI community.
ContactGina DevineHead of CommunicationsJohn Snow Labsgina@johnsnowlabs.Com
How Artificial Intelligence Is Used In Finance
Artificial intelligence (AI) is taking nearly every corner of the business world by storm, and companies are finding new ways to use AI in finance.
Image source: The Motley Fool.
Artificial intelligence plays a role in the algorithms and quantitative modeling companies use to manage money, and fintech companies are using a wide range of applications of AI in finance to make their businesses more efficient and better service customers.
Upstart (UPST 1.19%), for example, uses AI models to screen borrowers and establish forecasts on creditworthiness that it considers to be more accurate than credit scores.
Other fintech companies are also embracing AI as a way to differentiate themselves from legacy institutions like banks, and even banks have embraced artificial intelligence for things like customer service, fraud detection, and analyzing market data.
With ChatGPT setting off a new revolution in AI, we could just be seeing the start of AI in the financial industry as these companies find new ways to use this breakthrough technology.
What is AI? What is AI?If you're like many investors, you probably have a sense of what artificial intelligence is but have trouble defining it.
Generally, artificial intelligence is the ability of computers and machines to perform tasks that normally require human intelligence, such as identifying a type of plant with just a picture of it.
Machine learning, which means the ability of computers to teach themselves things using pattern recognition from the data they sample, might be the best-known application of artificial intelligence. This is the technology that underpins image and speech recognition used by companies like Meta Platforms (META -0.49%) to screen out banned images like nudity or Apple's (AAPL 3.95%) Siri to understand spoken language.
Other forms of AI include natural language processing, robotics, computer vision, and neural networks. Natural language processing and large language models (LLM) form the basis of chatbots like ChatGPT.
Examples of AI in finance Examples of AI in financeIn finance, natural language processing and the algorithms that power machine learning are becoming especially impactful. Keep reading to see how AI is used in the finance industry.
1. AI in lending 1. AI in lendingOne of the most common applications of artificial intelligence in finance is in lending. Machine learning algorithms and pattern recognition allow businesses to go beyond the typical examination of credit scores and credit histories to rate borrowers' creditworthiness when applying for credit cards and other loans.
AI lending platforms like those of Upstart and C3.Ai (AI 1.23%) can help lenders approve more borrowers, lower default rates, and reduce the risk of fraud.
C3.Ai says its smart lending platform helps financial institutions streamline their credit origination process and reduce borrower risks. For example, it promises a 30% reduction in the time required to approve a loan applicant. It's also achieved a $100 million increase in application volume and loan acceptance yield.
With ongoing high interest rates, the 2023 banking crisis, and continued pressure on borrowers, shares of Upstart have come crashing down as its growth has stalled. But that's no reason to doubt the underlying AI technology behind this business, as AI and machine-learning algorithms are designed to make inferences and judgments using large amounts of data.
2. AI in fraud detection 2. AI in fraud detectionFraud is a serious problem for banks and financial institutions, so it shouldn't be surprising that they're embracing new technologies to prevent it.
Much like AI algorithms do with lending or cybersecurity, machine learning algorithms can sort through large volumes of transaction data to flag suspicious activity and possible fraud.
These algorithms can suggest risk rules for banks to help block nefarious activity like suspicious logins, identity theft attempts, and fraudulent transactions.
A number of startups are working on AI fraud detection programs, and IBM (NASDAQ:IBM) has an AI program under IBM Watson Studio that improves fraud detection, fraud prediction, and fraud prevention.
3. AI in insurance 3. AI in insuranceInsurance is a close cousin of finance as both industries rely on financial modeling and need to accurately estimate risk in order to be successful.
One insurance company that has embraced AI is Lemonade (LMND 0.8%), which has been an AI-based company since its launch nearly a decade ago.
Lemonade uses AI for customer service with chatbots that interface with customers to offer quotes and process claims. Those algorithms can process claims at lightning speed. In 2023, it set a record when AI-Jim, its AI claims processing agent, paid a theft claim in just two seconds. The company says it settles close to half of its claims today using AI technology.
Fraud detection algorithms are also necessary in insurance. That technology helps make high-speed claims processing possible, allowing the company to better serve its customers.
Lemonade says it expects to take advantage of new generative AI technologies, seeing them as accelerants, and it plans to deliver significant savings with the help of ChatGPT and related technologies.
4. AI in customer service 4. AI in customer serviceCustomer service is crucial in the banking industry, and good customer service can often differentiate one institution from another and retain valuable customers, including high-net-worth individuals.
Banks use AI for customer service in a wide range of activities, including receiving queries through a chatbot or a voice recognition application.
If you've contacted your bank recently, there's a good chance you've engaged with an AI chatbot or a voice recognition system.
AI chatbots help companies respond quickly to customers, and it also has the potential to be used for new products, including product recommendations, new account sign-ups, and even credit products.
However, a new effort by the Biden administration to make it easier for customers to get in touch with a human could hamper some of the push into AI customer service. Still, AI chatbots help banks save money on labor in customer service as well.
In addition to chatbots, banks use AI to help recommend products for customers and manage money.
ChatbotsChatbots are computer programs that use artificial intelligence to imitate a conversation with a human.
5. AI in investing 5. AI in investingFinally, artificial intelligence is also being used for investing platforms to recommend stock picks and content for users.
Robinhood (NYSE:HOOD) is probably the best example of this kind of platform among financial stocks. The popular trading app has used AI to differentiate itself from competitors and recommend investment opportunities based on things like risk tolerance, investing style, and history. Its AI tools help personalize the user experience.
In July 2024, Robinhood acquired Pluto Capital, which is a free trading platform that's supported by LLM and other AI-powered tools to help users create and automate trading strategies, for an undisclosed sum. Pluto Capital CEO Jacob Sansbury will join Robinhood as an AI technologist.
A new app called Magnifi takes AI another step further, using ChatGPT and other programs to give personalized investment advice, similar to the way ChatGPT can be used as a copilot for coding. Magnifi also acts like a trading platform that can give details on stock performance and allows users to execute trades.
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Will AI change the world of finance?The financial industry encompasses several subsectors, from banking to insurance to fintech. It's a highly competitive industry, as banks and other operators constantly seek an edge over one another.
That explains why artificial intelligence is already gaining broad adoption in the financial services industry through chatbots, machine learning algorithms, and other methods.
While finance will always require a human touch and human judgment for some decisions and relationships, organizations are likely to outsource more work to AI algorithms and other tools like chatbots as the technology improves.
The cost-saving potential of artificial intelligence only adds to its appeal to banks and other financial companies. If you're looking for an investment opportunity, consider some of the stocks above, as well as other AI stocks or AI ETFs if you're looking for a broad-based approach to the sector.
FAQ AI in Finance FAQWhat is AI in finance?
Artificial Intelligence (AI) in finance refers to the use of machine learning to enhance how financial institutions analyze and manage investments.
How is AI being used in finance?
AI is being used in finance in a variety of ways, including investing, lending, fraud detection, risk analysis for insurance, and even customer service.
Will AI replace humans in finance?
It is highly unlikely that AI will replace humans in the finance industry. There are too many decisions that require personal judgment for humans to be fully replaced by AI in investing. However, the cost-saving potential of artificial intelligence allows for decisions to be made more rapidly and inexpensively, and it could eliminate lower-level work in areas like research and underwriting. Given the wide range of applications, it is likely that AI will continue to grow throughout the finance industry in the future.
Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Jeremy Bowman has positions in Lemonade, Meta Platforms, and Upstart. The Motley Fool has positions in and recommends Apple, Lemonade, Meta Platforms, and Upstart. The Motley Fool recommends C3.Ai. The Motley Fool has a disclosure policy.
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