Becoming Human

MAY 19, 2023

Banking solution providers are using AI to rewrite decades-old processes and deliver robust and profitable banking solutions. In this article, we’ll talk about AI in banking use cases to understand how the banking industry is leveraging AI to enhance its capabilities.

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Dataconomy

FEBRUARY 24, 2023

Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU). AI requires large amounts of data to function effectively, which can be expensive to collect and manage.

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Already a multi-billion-dollar industry, AI is having a profound impact on every aspect of life, business, and society. These tools are becoming increasingly sophisticated, enabling the development of advanced applications.

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Dataconomy

MAY 17, 2023

One such technology that has revolutionized the way sales teams operate is artificial intelligence Defining artificial intelligence (AI) Artificial intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

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Data Science Connect

JULY 26, 2023

Data-Driven Approaches to Cybersecurity and Sustainability Data scientists play a critical role in harnessing the power of data to improve both cybersecurity and sustainability efforts. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. of companies say they’re investing in Big Data and AI. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two.

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Data Science Connect

JULY 24, 2023

Department of Agriculture (USDA) is set to invest $300 million in a transformative initiative aimed at bolstering climate data applications in agriculture and forestry. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

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Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

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IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Imagine this: we collect loads of data, right? Let’s dive into the key elements that make up the fascinating world of Data Intelligence.

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Pickl AI

JULY 20, 2023

It involves deeper analysis and investigation to identify the root causes of problems or successes. Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 3 feature visual representation of a K-means Algorithm.

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IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

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Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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IBM Journey to AI blog

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. “Shut up and annotate!”

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Pickl AI

AUGUST 23, 2023

However, Data Science introduces a scientific approach by analyzing historical data, market sentiment, economic indicators, and other relevant factors. Predictive Analytics One of the most remarkable aspects of Data Science in stock market analysis is its predictive capabilities.

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Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” Unsupervised Learning: Finding patterns or insights from unlabeled data.

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Pickl AI

JULY 31, 2023

While the concept of Blockchain is fairly new, the term AI or Artificial Intelligence was coined in 1955. Now, imagine a world where we have AI and Blockchain integration. Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans.

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