Smart Data Collective

APRIL 2, 2019

The use of digital and machine learning processes has helped foster a revival among the titans of energy through connecting and modernizing older systems, incorporating innovative technologies, and leveraging data in new ways. With digital transformation, organizations can streamline these workflows and automate the processes.

Digital Transformation 267

Digital Transformation Digital Real-time Data Documentation 267

Timo Elliott

JANUARY 3, 2020

But this reality is no longer a guarantee that they will have the winning hand every time. Innovations such as predictive analytics , machine learning, and artificial intelligence have allowed companies as small as five employees to access the same computing power as their larger competitors – only to take action faster and better.

Artificial Intelligence 194

Artificial Intelligence Customer Experience Customer Experience Digital Transformation 194

Timo Elliott

FEBRUARY 1, 2022

I’d like to give you an overview of SAP, our customers, our technology, and how we can help you become an intelligent, sustainable enterprise. Now… I know that might sound glib, but let’s face it… digital technologies are transforming entire industries and they’re at the heart of helping us all address some the world’s biggest challenges.

Supply Chain 263

Supply Chain Procurement Digital Innovation 263

Smart Data Collective

SEPTEMBER 26, 2019

With Big Data, software developers are able to look into completed projects, extrapolate intel, and to create a platform upon which new projects can be built on. Aside from that, digital data integration helps companies make a strategic and meaningful adjustment which is key in sustaining a competitive culture.

Big Data 255

Big Data Banking Cloud Computing Artificial Intelligence 255

CMW Lab Blog

NOVEMBER 20, 2024

Artificial Intelligence (AI) has revolutionized Business Process Automation (BPA), transforming traditional automation into intelligent, adaptive systems. Enhanced Decision Making Real-time data analysis Predictive insights Risk mitigation Pattern recognition 3.

Artificial Intelligence 52

Artificial Intelligence IBM Maintenance IBM cost IBM Support 52

Cprime

JULY 20, 2023

Agile, digital, and AI transformation are three interconnected pillars that hold immense potential for driving innovation, growth, and success. By breaking down silos, fostering cross-functional teams, and promoting iterative development, Agile transformation facilitates rapid innovation and reduces time to market.

Digital 75

Digital Agile Digital Transformation Cloud Computing 75

Tableau

JANUARY 31, 2022

Changes to the way we live, connect, communicate, and work has forced every person and organization to become even more digital and data-driven than ever before. This is the first time we’ve published a Data Trends report since 2020. Artificial intelligence . “AI AI augments and empowers human expertise.

Artificial Intelligence 102

Artificial Intelligence Chief Data Officer Government Data Governance 102

Tableau

JANUARY 31, 2022

Changes to the way we live, connect, communicate, and work has forced every person and organization to become even more digital and data-driven than ever before. This is the first time we’ve published a Data Trends report since 2020. Artificial intelligence . “AI AI augments and empowers human expertise.

Artificial Intelligence 98

Artificial Intelligence Chief Data Officer Government Data Governance 98

Domo

MARCH 23, 2022

That is the over-arching finding from a new report based on a survey of 441 people whose careers depend on navigating the data decision gap. For example, 57% said that machine learning, artificial intelligence, and/or data science will likely receive substantial or exponential investments over time.

Artificial Intelligence 98

Artificial Intelligence Digital Transformation Real-time Data Vision 98

Tableau

SEPTEMBER 22, 2022

It’s a new day for business because we have data to help us understand what customers need, make smarter decisions, and take action fast. Data helps us innovate not only technology, but also customer experiences. And companies need real-time data and analytics, a single source of truth, to meet changing customer expectations. .

Innovation 98

Innovation Embedded Analytics Real-time Data Vision 98

Tableau

SEPTEMBER 23, 2022

It’s a new day for business because we have data to help us understand what customers need, make smarter decisions, and take action fast. Data helps us innovate not only technology, but also customer experiences. And companies need real-time data and analytics, a single source of truth, to meet changing customer expectations. .

Innovation 98

Innovation Embedded Analytics Real-time Data Vision 98

Data Pine

JANUARY 21, 2020

To put the business-boosting benefits of BI into perspective, we’ll explore the benefits of business intelligence reports, core BI characteristics, and the fundamental functions companies can leverage to get ahead of the competition while remaining on the top of their game in today’s increasingly competitive digital market.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

GAVS Technology

JUNE 24, 2024

They offer real-time data that enhances patient monitoring, allows for early detection of potential health issues, and supports chronic disease management. Artificial intelligence will also be crucial in transforming the large volumes of data collected by wearables into actionable insights.

Healthcare 52

Healthcare Cybersecurity Artificial Intelligence Monitoring 52

Domo

MAY 17, 2024

As a certified full reseller, referral, and implementation partner, Zirous will empower its customers with the Domo platform, making data visible and actionable across their businesses. Domo’s cloud-based platform offers all employees across a business with the real-time data needed to make informed business decisions and drive impact.

Artificial Intelligence 52

Artificial Intelligence Real-time Data Innovation Business Intelligence 52

Domo

FEBRUARY 26, 2025

Unlike traditional artificial intelligence (AI) models that passively generate responses, agentic AI can execute tasks, collaborate with other systems, and adapt in real time. In this article, we will talk about agentic AI, its benefits, and real-world applications.

Supply Chain 59

Supply Chain Healthcare Monitoring Banking 59

The BAWorld

NOVEMBER 24, 2023

As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities. Key Features: Real-time data analysis and sharing. Future Trends in Data Analytics 1. Rich visualization options for effective communication.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

Astera

DECEMBER 10, 2024

Manually processing invoices requires a lot of time, effort, and resources, and considering the organizations fiscal health depends on it, why trust it to spreadsheets and papers? The fact that 50% of the invoices an average enterprise receives are still paper documents highlights the need for digital transformation in AP document management.

Procurement 52

Procurement Finance Documentation Monitoring 52

Argon Digital

JUNE 27, 2023

Accounting automation simplifies and accelerates financial workflows by digitizing and automating tasks like data processing, document management , and financial analysis. By integrating various systems and data sources, automation enables seamless information exchange and reduces manual intervention.

Logistics 52

Logistics Supply Chain Customer Experience Customer Experience 52

Data Pine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Actian

JANUARY 7, 2019

With digital transformation of business, companies are learning about the importance of data when fueling their digital business processes. Emerging technologies, such as artificial intelligence (AI), machine learning (ML), blockchain and IoT, are increasing the demand for real-time data integration and harmonization.

Digital Transformation 40

Digital Transformation Supply Chain Artificial Intelligence Logistics 40

Argon Digital

OCTOBER 24, 2023

With the digital transformation in full swing, companies worldwide are leveraging technology to automate financial analysis, fostering accuracy, efficiency, and strategic foresight in an increasingly competitive marketplace. Embracing Financial Analysis Automation Financial analysis automation is imperative in today’s digital age.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Sisense

OCTOBER 29, 2020

However, the experts agree that there is one critical enabler in expediting their adoption — data. Data is the dealbreaker. Data is a critical factor in getting to where we need to be,” explained Ramsey. In fact, according to forecasts by Western Digital, the storage capacity per vehicle could amount to 11 terabytes by 2030.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Tableau

SEPTEMBER 22, 2022

It’s a new day for business because we have data to help us understand what customers need, make smarter decisions, and take action fast. Data helps us innovate not only technology, but also customer experiences. And companies need real-time data and analytics, a single source of truth, to meet changing customer expectations. .

Innovation 52

Innovation Embedded Analytics Real-time Data Vision 52

GAVS Technology

SEPTEMBER 13, 2021

AIOps (Artificial Intelligence for IT Operations) is being used by manufacturing and logistics firms to improve their productivity. Since user requirements are becoming more complex, data-driven platforms are used by firms to cater to the needs of customers. Maintaining equipment. Testing equipment virtually.

Logistics 52

Logistics Supply Chain Monitoring Artificial Intelligence 52

GAVS Technology

JANUARY 7, 2021

Artificial Intelligence for IT Operations (AIOps) is a platform that provides multilayers of functionalities that leverage machine learning and analytics. Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem.

Vision 52

Vision Artificial Intelligence Monitoring Big Data 52

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. One of the most intelligently crafted BI books on our list.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

MAY 4, 2023

Unleashing the power of AI in data-driven Ad Targeting: personalization, optimization, and innovation for modern digital advertising. But thanks to the power of artificial intelligence (AI), digital advertising has undergone a transformation, revolutionizing data-driven ad targeting.

Predictive Analytics 40

Predictive Analytics Artificial Intelligence Digital Logistics 40

Astera

AUGUST 13, 2024

It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digital transformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

GAVS Technology

SEPTEMBER 14, 2021

This is where AIOps digital transformation solutions come in. Application of Machine Learning to Data Test Cases. Retail and e-commerce businesses depending upon digital transformation need to use machine learning. AIOps includes the use of data center migration planning tools for better management and transfer of data.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Actian

MARCH 3, 2020

Over the past few years, IT organizations are increasingly being asked to automate the systems and processes involved in integrating and preparing their data for reporting, leveraging things like active metadata, artificial intelligence (AI) / machine learning (ML) algorithms, and knowledge graphs. Do you Need a Data Fabric?

Artificial Intelligence 40

Artificial Intelligence Digital Transformation Real-time Data Data Modelling 40

Monday

MARCH 31, 2021

With IoT (the internet of things), big data, and AI on the way, supply chain professionals are turning to technology. More than half of all surveyed companies think they’ll widely adopt big data analytics by 2030. In 2nd place, there’s IoT, followed by artificial intelligence. Image Source ). billion by 2026.

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

Cprime

APRIL 16, 2024

– Generative AI (Gen AI) is transforming the energy and materials sector by enhancing efficiency, driving innovation, and supporting sustainability efforts through advanced data analysis and predictive modeling. How does Gen AI improve predictive maintenance in the energy sector? However, embracing Gen AI is not without its challenges.

Innovation 59

Innovation Digital Government Vision 59

Insight Software

SEPTEMBER 29, 2021

Data-driven Finance leaders use metrics to look at what the business should do next, rather than only look back at how well they performed in the past. They use data and software with machine learning (artificial intelligence) to model and compare ‘what-if’ scenarios to grow the business.

Finance 40

Finance Artificial Intelligence Government Digital Transformation 40

Astera

JULY 13, 2023

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization. Learn more here or get in touch to see how Astera can help.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

MAY 24, 2023

So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool.

Healthcare 40

Healthcare Documentation Digital Predictive Analytics 40

Astera

FEBRUARY 2, 2024

The integration of AI extends beyond OCR, providing the capability to understand and process unstructured data within forms automatically. Real-time data extraction and AI’s adaptability to handle complex forms mark the forefront of contemporary form processing solutions.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

JUNE 28, 2023

This level of precision in data extraction is of utmost importance for governing agencies, as it allows for accurate analysis, policy formulation, and informed decision-making. Streamline Processes with OCR The incorporation of OCR streamlines the data extraction process from scanned or digital documents.

Documentation 40

Documentation Government Data Quality Data Security 40