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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” This data helps us understand earlier trends and is vital for making a realistic budget. Obsolete data and financial projections A budget, at its core, is a financial forecast.

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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

Let’s explore how top companies in this field are revolutionizing the way data is presented and understood. Importance of Data Visualization Enhancing Decision-Making Empowering decision-makers with real-time visualizations enhances their ability to grasp critical information swiftly.

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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

We do see crypto as a sustainable revenue model but at the same time, we cannot ignore the fact that at present, cryptocurrencies are extremely volatile and a slump in crypto prices could affect casino revenue adversely. The post Data Analytics for Crypto Casinos: Significance and Challenges appeared first on BizAcuity Solutions Pvt.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

Although NLP is undeniably useful with its ability to compute words and text, the complexity of human language presents serious challenges. Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 Intel® Technologies Move Analytics Forward.