IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics?

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Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. There are many sites available today which helps its users to book cheap flights using analytics. Adding a tool like this to an online travel agency portal is a smart way to hook customers in and entice them to book more trips.

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Flipboard

FEBRUARY 27, 2023

Content marketing was an obscure term that I stumbled upon while reading the book “ The New Rules of Marketing and PR ” by David Meerman-Scott in 2008. In the past, content creation involved laborious research and poring over books and other sources to extract insights. The librarians are not happy.

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

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Pickl AI

JULY 23, 2023

Summary: In the modern digital landscape, data analytics has emerged as a powerful tool for businesses and industries seeking valuable insights to drive decision-making and improve performance. There are several types of analytics techniques, each designed to address specific needs and goals.

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Dataconomy

APRIL 3, 2025

For instance, according to Salesforce, 90% of hospitals are expected to adopt AI agents by 2025, using predictive analytics and automation to improve patient outcomes. It helped to increase the number of answered calls, lead reactivation, and closed sales, while reducing booking costs by 70%.

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Pickl AI

OCTOBER 18, 2023

We have seen massive implications of analytics across the different domains. Sports analytics is one such field that is catching the eye. With the implementation of sports analytics and technologies like video analysis, it becomes easier to ensure a fair game. I was wondering how AI and analytics can help in modifying sports.

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Dataconomy

JUNE 20, 2024

Orchestrating end-to-end logistics Shipping companies are offering integrated control towers that combine real-time tracking data, weather and traffic reports, customs information, and booking statuses. Using predictive analytics, the platform automatically makes recommendations on optimally routing orders across carrier networks.

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Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

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Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Mining? Including yourself.

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Dataconomy

MARCH 14, 2024

Using predictive analytics, it is possible to align equipment maintenance schedules to improve its usage time. It is possible to experience the benefits of FSM software across marketing, customer service, data analytics, scheduling, dispatching workers, and more – provided you have the necessary features.

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How to Learn Machine Learning

JUNE 17, 2025

Predictive Analytics and Forecasting Currently, the most significant usage of machine learning in finance is predictive analytics. Financial institutions remove ML models available for predicting stock price, currency changes, and economic trends. Why Choose BIA?

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Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Why is data analytics important for travel organizations? Today, modern travel and tourism thrive on data.

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Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Instead, your area of expertise could be selling books, providing insurance, or creating jewelry. One of the other benefits of data analytics is that it can help forecast future business activity. Control Operational Costs.

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How to Learn Machine Learning

MAY 13, 2025

Personalized Learning, like stated in Ethan’s Mollick book Co-Intelligence , has been backed by many studies as being x3 as effective as normal, group education, and AI will unblock this. Library Management These bots can manage book inventories and all the records of the library, which will improve the library’s efficiency.

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How to Learn Machine Learning

MAY 2, 2025

Real-World Applications Azure Machine Learning powers diverse applications across industries: Healthcare : Predictive analytics for patient outcomes, medical image analysis, and drug discovery. For more awesome content, check our book reviews and courses bellow! Happy modeling, friends!

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Data Science Dojo

APRIL 18, 2024

Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. Hence, by focusing on high-confidence outputs, selective prediction enhances the reliability of LLMs and fosters trust in their capabilities. That’s essentially what an LLM is!

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Pickl AI

SEPTEMBER 12, 2024

With over 4 million hosts and more than 1 billion guest arrivals since its inception, the platform collects data from various sources, including user interactions, booking patterns, and customer feedback. For example, Airbnb analyses past booking data to understand seasonal trends and popular destinations.

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Dataconomy

MARCH 27, 2025

For instance, according to Salesforce, 90% of hospitals are expected to adopt AI agents by 2025, using predictive analytics and automation to improve patient outcomes. It helped to increase the number of answered calls, lead reactivation, and closed sales, while reducing booking costs by 70%.

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Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

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Dataconomy

AUGUST 27, 2024

One of the most significant advancements is in predictive analytics. For example, during peak moving seasons, companies can predict surges in demand and adjust their staffing and fleet availability accordingly. AI is changing this by harnessing the power of big data to streamline operations and provide actionable insights.

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IBM Journey to AI blog

FEBRUARY 12, 2024

And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. Look at Amazon, which started with books and moved into virtually everything else. Increasingly organizations expanded what they offered.

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Pickl AI

OCTOBER 9, 2024

By leveraging advanced analytics, the company improves its services and builds lasting relationships with customers, ensuring a competitive edge in the travel industry. With a market share exceeding 47% , it provides a wide range of services including flight bookings, hotel reservations, holiday packages, and rail and bus tickets.

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Smart Data Collective

SEPTEMBER 24, 2019

Since the 1950s, teenage boys around the world have expressed an interest in robots after reading books by Isaac Asimov and other science fiction writers. Machine learning has made it possible for them to digest new data and use predictive analytics tools to understand the new situations they are going to face.

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DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Use this link to book a 1:1 meeting with the DataRobot team onsite. Book a 1:1 Meeting with the DataRobot Team at Big Data & AI Paris. Book a Meeting.

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Pickl AI

APRIL 21, 2025

Rule Found: IF you have a plane ticket to Paris AND booked a hotel in Paris, THEN you can be in Paris. Sub-goal B: Have booked a hotel in Paris. Applying Backward Reasoning to Sub-goal B: Rule Found: IF you choose a hotel AND pay for the booking, THEN you have booked a hotel. Backward Reasoning Process: Goal: Be in Paris.

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How to Learn Machine Learning

APRIL 15, 2023

By analysing a customer’s search history, previous bookings, and social media activity, AI can recommend travel destinations, activities, and accommodations that are tailored to the customer’s interests. Travel Planning and Booking AI is also being used to help travelers plan and book their trips.

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AWS Machine Learning Blog

AUGUST 15, 2024

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. He works closely with enterprise customers building data lakes and analytical applications on the AWS platform. Solutions Architect at AWS.

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ODSC - Open Data Science

JUNE 29, 2023

3 Best Benefits of AI-Powered Predictive Analytics for Marketing Here, we explore the top three benefits of AI-powered predictive analytics that works wonder for marketing. Take a deep dive into the theory underpinning and applications of generative AI at our first-ever Generative AI Summit on July 20th.

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Smart Data Collective

DECEMBER 5, 2019

Competitive fares and bookings are monitored by the airlines, which allows revenue management to help airlines determine what strategy their schedule should take with the goal of driving demand. Predictive analytics will be used much more in airline marketing in the months to come. Is Machine Learning Truly Helping Airlines?

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How to Learn Machine Learning

APRIL 4, 2025

Predictive analytics will get adopted across the healthcare sector and further companies will be able to make intelligent choices. It will act like a virtual assistant and it will also help in booking therapy appointments with psychiatrists. What is the role of AI in modern marketing?

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How to Learn Machine Learning

MARCH 25, 2025

It plays a crucial role in areas like customer segmentation, fraud detection, and predictive analytics. (Or even better than that) Machine learning has transformed the way businesses operate by automating processes, analyzing data patterns, and improving decision-making. These are known as supervised learning and unsupervised learning.

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Flipboard

JUNE 10, 2025

Whether it’s through AI-powered code analysis, predictive analytics in retail or automating documentation in healthcare, companies understand they can find value in targeted applications of AI. For instance, AI-enabled predictive analytics allows companies to detect and respond to market trends in real time.

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Pickl AI

SEPTEMBER 17, 2024

From chatbots to predictive analytics, AI tools help streamline operations, improve marketing strategies, and optimise resource allocation. These bots can handle simple tasks like answering frequently asked questions, booking appointments, or even processing orders.

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AWS Machine Learning Blog

APRIL 12, 2023

AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It’s an easy way to run analytics on IoT data to gain accurate insights.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Bush, and has co-authored several books on data science. Dr. Arsanjani has over 20 years of experience in AI/ML, analytics, cloud computing, and software engineering.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Bush, and has co-authored several books on data science. Dr. Arsanjani has over 20 years of experience in AI/ML, analytics, cloud computing, and software engineering.

Machine Learning 52

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