Dataconomy

APRIL 6, 2018

The field of data analytics, specifically, has widened with the integration of computer technology, and more recently with the use of machine learning and AI algorithms. The post Blockchain is the Great Equalizer for Predictive Analytics appeared first on Dataconomy. The field is now a major component for several.

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Data Science Dojo

JUNE 16, 2023

OpenAI is a research company that specializes in artificial intelligence (AI) and machine learning (ML) technologies. Its goal is to develop safe AI systems that can benefit humanity as a whole. OpenAI provides developers with a range of tools and APIs that can be used to incorporate AI and ML into their mobile apps.

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Data Science Dojo

MARCH 2, 2023

Data analytics is the driving force behind innovation, and staying ahead of the curve has never been more critical. By attending these conferences, attendees can gain new insights, and enhance their skills in data analytics.

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Smart Data Collective

JUNE 26, 2019

Big data and predictive analytics will lead to healthcare improvement. Health IT Analytics previously published an excellent paper on some of the best use cases of predictive analytics in healthcare. Diagnoses accuracy will improve, and this will occur with the help of predictive algorithms.

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Dataconomy

SEPTEMBER 29, 2023

Artificial intelligence (AI) and machine learning (ML) have revolutionized several sectors, including startups. AI and machine learning can transform organizations’ functions by using tools like chatbots and predictive analytics.

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Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. What is cloud analytics?

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Data Science Dojo

JUNE 29, 2023

AI is transforming the business landscape by providing advanced tools and insights that enable companies to deliver personalized experiences, drive customer loyalty, and create unique value propositions. These tools use AI algorithms to deliver dynamic and contextual content across various channels, such as email, social media, and websites.

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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 Dojo

MAY 14, 2024

A process that has potential for improvement with the introduction of generative AI. In the CRM landscape, AI holds immense potential to revolutionize how businesses manage customer relationships. In this blog, we will explore the concept of AI-powered CRMs, navigating through the impact of integrating CRMs with generative AI features.

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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 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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Data Science Connect

JULY 24, 2023

In the ever-evolving world of sports, the interplay between data science and analytics is transforming the way athletes, coaches, and teams approach their games. The Rise of Sports Analytics Sports analytics has gained immense prominence in recent years, with teams and organizations recognizing its potential to gain a competitive edge.

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Becoming Human

APRIL 19, 2024

Embracing the AI Transformation: Unveiling the Pathways to Success Photo by Andrea De Santis on Unsplash In today’s fast-paced digital landscape, Artificial Intelligence (AI) stands at the forefront of innovation, revolutionizing industries and reshaping the way we conduct business.

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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

DECEMBER 8, 2023

In the modern business landscape, Artificial Intelligence (AI) is transforming how companies operate. Integrating AI into business processes enhances efficiency and accuracy – leading to significant time and cost savings. AI in human resources AI streamlines recruitment and enhances employee engagement.

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Mlearning.ai

FEBRUARY 25, 2024

Sustainable data centres — can AI provide solutions to achieve decarbonisation goals? Generative AI is driving substantial growth in data centre footprints. As companies invest heavily in AI capabilities, hyperscale data centres are expected to triple in size over the next few years.

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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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Flipboard

FEBRUARY 13, 2023

Artificial intelligence (AI) has been transforming industries across the board, and digital marketing is no exception. AI can help marketers automate tedious tasks, personalize campaigns, and make data-driven decisions. So how can AI be used in digital marketing and what are the potential benefits for marketers?

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Pickl AI

JUNE 25, 2023

From small start-ups to multinational corporations, companies across the globe are leveraging the power of analytics to drive productivity, optimize their operations and make informed decisions. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. What is Business Analytics?

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Becoming Human

JUNE 14, 2023

AI in Healthcare — Innovative use cases & Applications Artificial Intelligence (AI) has emerged as a groundbreaking technology transforming numerous industries, and healthcare is no exception. Artificial intelligence (AI) has significantly impacted the healthcare industry, transforming healthcare delivery and monitoring.

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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. Recently, a terminology AI-referee caught my attention.

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Dataconomy

MAY 25, 2023

By leveraging advanced algorithms and machine learning techniques, IoT devices can analyze and interpret data in real-time, enabling them to make informed decisions and take autonomous actions. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Smart Data Collective

MAY 21, 2021

New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Some creative ways to weave data analytics into a software development outsourcing approach are listed below.

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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. AI-Powered Financial Intelligence: Unleashing Data Insights On the other hand, artificial intelligence is empowering financial organizations with data-driven insights and predictive analytics.

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Smart Data Collective

NOVEMBER 22, 2022

AI technology has been invaluable to the financial industry. The amount of money that fintech companies are spending on AI is projected to grow by 16.5% AI is changing the alternative financial sector as well. For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies.

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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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Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. They use spatial analytics to determine the optimal placement of 5G base stations and decide how to best allocate network resources.

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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. Sustainable Supply Chain Management Data analytics enable organizations to assess the environmental impact of their supply chains.

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Data Science Dojo

JULY 2, 2023

These models can recognize, summarize, translate, predict, and generate text and other forms of content with exceptional accuracy. LLMs broaden AI’s reach across industries, enabling new research, creativity, and productivity waves.

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Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. One report found that global e-commerce brands spent over $16.7 One benefit is that they can help with conversion rate optimization.

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Dataconomy

NOVEMBER 17, 2023

We’re talking about the best AI movies! From robots having an existential crisis to super-smart machines playing mind games, the silver screen has given us some seriously cool AI adventures. We created our Disney AI movie, meet Lila! Let the magic of artificial intelligence unfold with the best AI movies on screen.

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ODSC - Open Data Science

DECEMBER 14, 2023

Predictive Analytics Machine learning models can leverage predictive analytics, giving IT professionals insight into their data center. For example, they can predict when a server will need repairs, allowing technicians to act proactively instead of waiting for scheduled service or responding to an outage.

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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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Pickl AI

SEPTEMBER 7, 2023

In an era defined by data-driven decision-making, the finance industry stands at the forefront of harnessing the potential of Data Analytics. Today, the role of Data Analytics in the finance industry is growing. As per IDC survey, around 28% of the banks and other financial institutions will be investing in Big Data and analytics.

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Dataconomy

JUNE 13, 2023

Decision intelligence is not just about crunching numbers or relying on algorithms; it is about unlocking the true potential of data to make smarter choices and fuel business success. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

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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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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. 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.

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