Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Their significance lies in their ability to understand, interpret, and generate human language based on vast amounts of data.

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Data Science Connect

JULY 24, 2023

Artificial Intelligence (AI) is revolutionizing various industries, and IT support is no exception. The adoption of AI in IT support has led to significant improvements in efficiency, user experience, and issue resolution. These systems use machine learning to categorize and assign tickets based on factors like urgency and complexity.

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. It is a result of a dedicated focus on the government’s strategy towards building a digital economy and society, with AI as its core component.

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Dataconomy

JULY 18, 2023

Real-time quoting with AI is a powerful tool that can significantly advance manufacturing competitiveness. By leveraging artificial intelligence algorithms and data analytics, manufacturers can streamline their quoting process, improve accuracy, and gain a competitive edge in the market.

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Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. Die AI lernt permanent mit, Unternehmenswissen geht nicht verloren. Und warum spielt sie für AI eine so große Rolle?

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ODSC - Open Data Science

MARCH 8, 2024

According to a recent study by IMARC Group , that is shedding light new light on AI and health, it is revealing an anticipated compound annual growth rate, or CAGR of 43.52% from 2024 to 2032. At its core, AI in healthcare leverages sophisticated algorithms to sift through and make sense of complex medical data.

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Data Science Connect

JULY 21, 2023

These models typically tackle complex tasks such as image recognition, natural language processing, sentiment analysis, and more. The training process involves exposing the model to a wealth of labeled data, enabling it to learn patterns and relationships effectively.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Mlearning.ai

MARCH 7, 2023

Artificial intelligence (AI) has become an integral part of modern mobile app development. With Flutter being one of the most popular mobile app development frameworks, it is no surprise that AI-powered Flutter mobile app development is gaining traction. It is an essential technology for voice-enabled applications and chatbots.

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Smart Data Collective

JULY 24, 2023

With the advent of the Fourth Industrial Revolution, where the lines between physical, digital, and biological spheres are increasingly blurred, a new transformational player has emerged on the VMS scene: Artificial Intelligence (AI). As AI reshapes traditional operational landscapes, the procurement sector stands on the cusp of a new era.

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Data Science Connect

JULY 24, 2023

The financial sector is undergoing a paradigm shift, fueled by the convergence of blockchain and artificial intelligence (AI) technologies. The ability to execute smart contracts on blockchain networks further automates and enforces contractual agreements, reducing paperwork and processing times.

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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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Smart Data Collective

JUNE 29, 2022

AI can benefit financial technology in a number of ways. Since the tasks AI can perform reduce time significantly, teams can invest more in other aspects of a project. So it is not surprising that AI use ??in Mordor Intelligence predicts that the technology’s value in the industry will grow at a CAGR of 23.17% until 2025.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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ODSC - Open Data Science

MARCH 20, 2023

No industry in 2023 is complete without incorporating AI. How can administrators in supply chains leverage AI to achieve all these benefits while exceeding customer expectations and balancing B2B relationships? AI could use predictive analytics to relay more accurate demand forecasting based on incoming and historical data.

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IBM Journey to AI blog

JANUARY 12, 2024

The integration of artificial intelligence (AI) has ushered in a new era of technological progress, offering a spectrum of benefits across industries. AI’s potential to revolutionize operations, enhance decision-making and drive innovation is undeniable.

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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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Data Science Dojo

APRIL 18, 2024

Imagine a computer program that’s a whiz with words, capable of understanding and using language in fascinating ways. Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. billion parameter model developed by Mistral AI.

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Pickl AI

JANUARY 29, 2024

The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. Markets for each field are booming, offering diverse job roles, especially in Machine Learning for Data Analytics. ML catalyses AI advancements, enabling systems to evolve and improve decision-making. billion by 2032.

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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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Dataconomy

MARCH 2, 2023

As technology continues to advance, artificial intelligence (AI) is becoming more prevalent in our daily lives. One type of AI that has gained significant traction is weak artificial intelligence, also known as narrow AI. One critical aspect of weak AI is its dependence on data.

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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. The Significance of Data Quality Before we dive into the realm of AI and ML, it’s crucial to understand why data quality holds such immense importance.

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Data Science Connect

JULY 26, 2023

Predictive Analytics for Cyber-Threat Detection By leveraging predictive analytics, data scientists can detect cyber-threats before they manifest. Identifying potential attacks in advance allows organizations to take proactive measures and prevent security breaches.

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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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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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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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Data Science Connect

JULY 24, 2023

The ambitious investment seeks to harness cutting-edge technology, including AI, data analytics, and advanced sensing systems, to enhance sustainability and resilience in these vital sectors. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

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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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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. AI-Powered Big Data Technology. Predictive Business Analytics. Natural Language Processing and Report Generation.

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Dataconomy

MARCH 27, 2023

RPA is often considered a form of artificial intelligence, but it is not a complete AI solution. AI, on the other hand, can learn from data and adapt to new situations without human intervention. RPA can be used to automate data entry and data management processes, reducing the risk of errors and improving data quality.

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IBM Journey to AI blog

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. AI and ML technologies can sift through enormous volumes of health data—from health records and clinical studies to genetic information—and analyze it much faster than humans.

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IBM Journey to AI blog

FEBRUARY 12, 2024

A recent IBM Institute for Business Value survey found 57 percent of respondents said meeting customer demands for more personalized experiences was their top reason for adopting AI. New technologies like artificial intelligence (AI) and machine learning (ML) will drive automation and further enhance the CX suite.

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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

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. Around 97.2%

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. It’s particularly valuable for forecasting demand, identifying potential risks, and optimizing processes.

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Smart Data Collective

JULY 11, 2023

In one of our articles, we mentioned that many nurses have used AI to provide better services to their patients. According to one report, the market for AI in mental health services is projected to grow by 38.87% a year between 2023 and 2031. However, AI can help create chatbots that offer a lot of other benefits as well.

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Precisely

JANUARY 22, 2024

Intensive digitization and the rise of artificial intelligence (AI), an uncertain economic climate, and evolving consumer expectations mean that delivering an outstanding customer experience (CX) is more important than ever. AI holds tremendous potential, but massive risk when the data isn’t trustworthy. The bottom line?

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