IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. AI operates on three fundamental components: data, algorithms and computing power.

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Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing! billion in 2019.

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Metadata Big Data ETL Data Mining 162

Unite.AI

DECEMBER 23, 2023

Breakthroughs in technologies like Artificial Intelligence (AI) are changing how we think about operations management. As organizations move from a reactive approach to a proactive one, they can use technologies like the Industrial Internet of Things ( IIoT ), cloud, AI, and analytics to gain real-time data, actionable insight, etc.,

Data Quality 182

Data Quality Big Data Artificial Intelligence Artificial Intelligence 182

Unite.AI

FEBRUARY 19, 2024

Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. So why is this recently expounded phenomenon surprising industries? Simply put, it is a superior iteration of intelligent automation.

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Pickl AI

SEPTEMBER 18, 2024

Summary: The AI in cybersecurity market is rapidly expanding, driven by the need for advanced threat detection and response. This blog examines current trends, challenges such as adversarial attacks and data privacy, future prospects like autonomous systems, and the evolving job landscape as AI creates new roles within the industry.

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Marktechpost

JUNE 27, 2023

In addition to being the first full-stack AI platform, MLaaS unifies a wide variety of systems, including but not limited to mobile apps, business data, industrial automation and control, and cutting-edge sensors like LiDar. Machine learning solutions provided by GCP are – Build with AI, Conversational AI, and Dialogflow CX 3.

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Dlabs.ai

JANUARY 28, 2022

billion by 2028. Artificial intelligence helps retailers analyze big data , meaning they can run better marketing campaigns, improve logistics, and, of course, optimize prices. In this post, you’ll learn how AI for price optimization works and how it can benefit your business. Why such growth? Let’s dive in.

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Pickl AI

NOVEMBER 5, 2024

billion by 2028, with a CAGR of 13.6% from 2022 to 2028. This growth reflects the rising demand for advanced BI tools like Tableau across various industries, cementing its role as a leader in Data Visualisation. Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist.

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Business Intelligence Data Analysis Data Extraction Big Data 52

Pickl AI

NOVEMBER 4, 2024

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million by 2028. SQL SQL is crucial for querying and managing relational databases.

Data Quality 52

Data Quality ETL Data Integration Machine Learning 52

Pickl AI

OCTOBER 21, 2024

They provide flexibility in data models and can scale horizontally to manage large volumes of data. NoSQL is well-suited for big data applications and real-time analytics, allowing organisations to adapt to rapidly changing data landscapes. million users by 2028, marking a significant growth in its user base.

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AI News

JANUARY 15, 2025

In the last days of office, President Joe Biden is taking steps to address the growing energy demands of advanced AI data centres. On Tuesday, he signed an executive order aimed at providing federal support to fast-track the development of infrastructure needed to power these AI DC facilities, the White House has announced.

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. AI, serverless computing, and edge technologies redefine cloud-based Data Science workflows.

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