Pickl AI

OCTOBER 3, 2024

Summary: Predictive analytics utilizes historical data, statistical algorithms, and Machine Learning techniques to forecast future outcomes. This blog explores the essential steps involved in analytics, including data collection, model building, and deployment. What is Predictive Analytics?

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Dataversity

JANUARY 18, 2024

Now, there’s an alarming trend among organized crime rings that have the potential to defraud enterprises of […] The post AI-Driven Predictive Analytics: Turning the Table on Fraudsters appeared first on DATAVERSITY. This is placing businesses in danger of financial losses, and trust and reputational damage.

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Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences. It offers robust IoT and edge computing capabilities, advanced data analytics, and AI services.

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The Data Administration Newsletter

MARCH 19, 2025

Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies.

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Data Science Dojo

JUNE 16, 2023

The purpose of this blog post is to discuss the advantages and disadvantages of using OpenAI in mobile app development. We will explore the benefits and potential drawbacks of OpenAI in terms of enhanced user experience, time-saving, cost-effectiveness, increased accuracy, and predictive analysis.

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Towards AI

JULY 4, 2025

We are no longer talking about predictive analytics or task-based automation. But there was a ceiling: it couldn’t explain, strategize, or adjust when… Read the full blog for free on Medium. This isn’t a scene from a sci-fi flick. It’s a routine Tuesday night in 2025. They don’t ask for permission, they generate options.

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Dataversity

JUNE 28, 2024

Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. Basically, predictive analytics answers the question “What will happen?” The goal is to provide the best assessment of what will happen in the future.

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Aryng

JUNE 19, 2024

When considering how to leverage your startup’s data to improve retention, predictive analytics is a powerful tool for cracking the code on what motivates customers to stay committed to your new brand.

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IBM Data Science in Practice

OCTOBER 25, 2024

This blog is about how to configure Single Sign-on(SSO) on IBM SPSS Analytic Server. To know more about IBM SPSS Analytic Server [link] IBM SPSS ANALYTIC SERVER enables IBM SPSS Modeler to use big data as a source for predictive modelling.

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Smart Data Collective

AUGUST 26, 2021

But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype. That’s where data analytics steps into the picture. It’s faster and more accurate.

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Pickl AI

OCTOBER 29, 2024

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. This blog explores five compelling case studies that illustrate the practical applications of Data Science in real-world scenarios.

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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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Dataconomy

NOVEMBER 20, 2023

Let’s start reading this blog, where we’ll talk about What is Salesforce and the different parts of Salesforce CRM that make it essential for businesses that want to succeed. Timely follow-ups, focused communication, and perceptive analytics cultivate customer loyalty, which results in enduring relationships and repeat business.

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DataRobot Blog

NOVEMBER 8, 2022

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. As a global media agency network that delivers value in different ways (media investment management, planning and buying, content, creative, strategy, analytics, etc.), Download Now.

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Smart Data Collective

JULY 16, 2023

We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. The market for financial analytics was worth $8.2 The market for financial analytics was worth $8.2 In fact, big data keeps gaining momentum. Countless industry have been shaped by big data.

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Data Science Dojo

JULY 2, 2023

Data analysis and predictive analytics: LLMs can analyze large amounts of financial data, identify patterns, and make accurate predictions. Sentiment analysis: GPT Banking can scan social media, press, and blogs to understand market, investor, and stakeholder sentiment.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Science Dojo

FEBRUARY 18, 2023

This blog outlines a collection of 12 AI tools that can assist with day-to-day activities and make tasks more efficient and streamlined.  The development of Artificial Intelligence has gone through several phases over the years. It all started in the 1950s and 1960s with rule-based systems and symbolic reasoning.

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Smart Data Collective

JULY 24, 2023

Analytics technology has been a huge gamechanger for the sports industry. billion on analytics last year. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings.

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Data Science Dojo

JUNE 29, 2023

Hyper-Personalization and Predictive Analytics AI enables marketers to go beyond traditional personalization by delivering hyper-personalized experiences to customers. By combining AI with predictive analytics, businesses can anticipate customer needs and preferences, offering tailored recommendations, promotions, and pricing.

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Flipboard

FEBRUARY 13, 2023

Predictive analytics Predictive analytics is another area where AI can help digital marketers. Predictive analytics uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.

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phData

NOVEMBER 4, 2024

The modern data stack is defined by its ability to handle large datasets, support complex analytical workflows, and scale effortlessly as data and business needs grow. Dataiku is an advanced analytics and machine learning platform designed to democratize data science and foster collaboration across technical and non-technical teams.

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Dataversity

JUNE 17, 2022

The post Operational Data Analytics Extends Finance’s Value appeared first on DATAVERSITY. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […].

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Dataconomy

APRIL 17, 2025

AI in marketing refers to the use of machine learning (ML), natural language processing (NLP), and predictive analytics to automate, optimize, and personalize campaigns at scale. e.g., “Prioritize CTR over opens for promo emails”) Connect AI tools with analytics. past high-converting blogs) 4.

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Dataversity

OCTOBER 10, 2022

The post How to Modernize Analytics Strategies with Operational Data appeared first on DATAVERSITY. Just as Michelangelo said that every block of stone has a statue inside it and it is the task of the sculptor to discover it, so every set of data has […].

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IBM Journey to AI blog

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. Organizations can use all this data to understand the overall health of their system through IT operations analytics. billion business.

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Flipboard

JANUARY 7, 2025

Prescient AI: Predict and optimize ad performance Source: Prescient AI Prescient AI takes the guesswork out of budget allocation for paid ads with predictive analytics. You can explore different budgeting scenarios to predict how budget changes could impact your campaigns. Pricing : Free plan available.

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Data Science Dojo

MAY 16, 2024

In this blog, we will paint a clearer picture as to how will generative AI change the current landscape of AI project management. Analyzing Project Risks: Utilizing historical data and predictive analytics, AI can identify patterns and trends that may pose future risks.

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Data Science Blog

NOVEMBER 15, 2023

The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. An object-centric data model is a big deal because it offers the opportunity for a holistic approach and as a database a single source of truth for Process Mining but also for other types of analytical applications.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

This innovation has transformed client interactions and operational efficiency through the use of Amazon Transcribe Call Analytics , Amazon Comprehend , and Amazon Bedrock. To learn more, visit Amazon Transcribe Call Analytics , Amazon Comprehend , and Amazon Bedrock. The following diagram illustrates the solution architecture.

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Towards AI

SEPTEMBER 30, 2024

By leveraging AI for predictive analytics, hospitals can estimate patient requirements, shorten waiting times, better manage treatment allocation, and elevate the level of patient care. This includes… Read the full blog for free on Medium. AI-driven technology allows healthcare professionals to make the diagnosis.

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Dataversity

JUNE 16, 2021

A lousy hit wastes a lot of time and energy predicting the future and understanding the newest trends. The post A Guide to Predictive Data Analytics (Making Decisions for the Future) appeared first on DATAVERSITY. But those problems […].

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ODSC - Open Data Science

JUNE 12, 2025

Predictive analytics further enhances this by anticipating user actions such as churn or future purchases. This predictive power allows companies to create campaigns tailored to each user’s preferences, boosting engagement and ROI. Tools now generate ad copy, product descriptions, blog outlines, and even videos.

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Towards AI

SEPTEMBER 17, 2024

Learn how AI-driven strategies like generative content, hyper-personalization, and predictive analytics are revolutionizing customer engagement and marketing effectiveness. My passion for Marketing along with my enthusiasm for AI has made me explore the top 10 trends in marketing which is… Read the full blog for free on Medium.

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Dataversity

SEPTEMBER 15, 2023

Organizations all over the world – both profit and nonprofit – are looking at leveraging data analytics for improved business performance. Research by MIT found that digitally mature firms are 26% […] The post Introducing the Data Analytics Fabric Concept appeared first on DATAVERSITY.

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Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool. Prescriptive analytics.

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Flipboard

JUNE 23, 2025

The platform is versatile across industries, supporting use cases in marketing, programming, finance, and more, with tools for content creation, predictive analytics, and debugging. Finance: Conduct predictive analytics, perform risk assessments, and analyze market trends.

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