Smart Data Collective

JULY 2, 2019

Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field. Global Experts Weigh in On Renewable Energy Dependence on Big Data. We have heard experts all over the world talk about the benefits of big data in renewable energy. Here are some of their findings.

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Analytics Analytics Big Data Big Data 96

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 145

Big Data Big Data Natural Language Processing Artificial Intelligence 145

Data Science Dojo

JANUARY 12, 2023

What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services. References: Data lake vs data warehouse

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Data Lakes Data Warehouse Hadoop Machine Learning 221

Data Science Connect

JULY 28, 2023

The ever-expanding Internet of Things (IoT) ecosystem is set to experience a monumental transformation as Artificial Intelligence (AI) steps into the picture. As data scientists, understanding this transformative synergy between AI and IoT is essential to unlock new possibilities in connectivity, data analysis, and decision-making.

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AI AI Internet of Things Data Scientist 130

Dataconomy

AUGUST 24, 2023

From augmented analytics and AI-driven insights to the convergence of BI and machine learning, these trends are poised to redefine how organizations derive value from their data. This transformation from raw data to actionable intelligence is the catalyst that propels companies toward sustainable success.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

IBM Journey to AI blog

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. What’s the biggest challenge manufacturers face right now?

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Internet of Things Cloud Computing Predictive Analytics Analytics 91

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. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

Smart Data Collective

SEPTEMBER 11, 2020

Internet of Things. In this digital age, people rely more on the internet to find and share information. IoT is the technology that enhances communication by connecting network devices and collecting data. Internet of Things is a critical tool for businesses. AI has made it even more viable than ever.

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Data Science Connect

JULY 26, 2023

Data-Driven Approaches to Cybersecurity and Sustainability Data scientists play a critical role in harnessing the power of data to improve both cybersecurity and sustainability efforts. Sustainable Supply Chain Management Data analytics enable organizations to assess the environmental impact of their supply chains.

Data Scientist 130

Data Scientist Predictive Analytics Internet of Things Artificial Intelligence 130

Data Science Connect

JULY 24, 2023

Department of Agriculture (USDA) is set to invest $300 million in a transformative initiative aimed at bolstering climate data applications in agriculture and forestry. Precision agriculture, also known as smart farming, relies on data-driven technologies to tailor agricultural practices to specific field conditions.

Data Scientist 130

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Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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Dataconomy

NOVEMBER 21, 2023

As Roosh Ventures notes, the data streaming market is rapidly evolving today. Big Data, the Internet of Things , and AI generate continuous streams of data but companies currently lack the infrastructure development experience to leverage this effectively.

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Smart Data Collective

JANUARY 10, 2023

Proceed to data analysis. Many analytics programs that are offered by cloud service providers can prepare all the information in such a way that it will be fully ready for visualization. Thanks to these tools you can find any information you need to make the analysis as efficient as possible.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

Data Science Connect

JULY 23, 2023

The automotive industry is on the brink of a technological revolution, powered by the seamless integration of the Internet of Things (IoT). This global transformation is set to redefine the future of transportation, as data-driven insights, connected vehicles, and smart infrastructure create a new era of mobility.

Data Scientist 130

Data Scientist Internet of Things Analytics Analytics 130

Pickl AI

JULY 23, 2023

Summary: In the modern digital landscape, data analytics has emerged as a powerful tool for businesses and industries seeking valuable insights to drive decision-making and improve performance. Today, it is imperative for companies to adopt the data driven decision making processes.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

JUNE 4, 2024

Summary: Data Analytics can revolutionize sustainable energy. Data collection from smart meters, weather stations, and sensors empowers us to predict energy demand and production. Fortunately, a powerful tool sits at our disposal: Data Analytics.

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Analytics Analytics Predictive Analytics Data Visualization 52

Dataconomy

APRIL 27, 2023

OLTP systems require both regular full backups and constant incremental backups to ensure that data can be quickly restored in the event of a problem. OLTP vs OLAP OLTP and online analytical processing ( OLAP ) are two distinct online data processing systems, although they share similar acronyms.

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Database Data Scientist Data Mining Data Mining 159

IBM Journey to AI blog

JUNE 20, 2023

Opportunities with data-driven digital twins Much has happened in engineering (e.g., detecting and preventing failures through sensor data analysis) and after sales (e.g., detecting trends through social media analysis) through the usage of data analytics.

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Internet of Things Data Analysis Data Analysis Analytics 102

Smart Data Collective

JANUARY 11, 2021

We have talked about a number of changes that big data has created for the manufacturing sector. A number of manufacturers are relying more on analytics technology to streamline their operations. Cloud computing is also helping manufacturing companies to reduce costs, innovate, and increase their competitiveness.

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Dataconomy

MAY 23, 2023

By processing data locally at the edge, edge computing reduces latency, improves real-time responsiveness, and enhances overall system performance. The key idea behind edge computing is to bring computation closer to the data source, which offers several advantages.

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Smart Data Collective

SEPTEMBER 21, 2021

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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Data Science Connect

JULY 26, 2023

Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source. This proximity significantly reduces latency and enhances real-time data analysis, making it indispensable for applications like IoT, autonomous vehicles, smart cities, and more.

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Data Scientist Internet of Things Cloud Computing Azure 100

Pickl AI

JANUARY 16, 2024

It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis. Trends shaping careers, like AI integration and real-time analytics, highlight the evolving industry demands. ’ In this digital era, Data Analysts fuel innovation.

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Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. Data storage solutions need to be scalable, secure, and cost-effective.

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Data Science Internet of Things Analytics Analytics 70

Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. Data storage solutions need to be scalable, secure, and cost-effective.

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Data Science Internet of Things Analytics Analytics 70

IBM Journey to AI blog

MAY 31, 2023

Sensors collect data in real-time, and it is fed into AI-enabled enterprise asset management (EAM) , computerized maintenance management systems (CMMS) and other maintenance software. Through these types of software, advanced data analysis tools and processes like machine learning (ML) can identify, detect and address issues as they occur.

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Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. These may range from Data Analytics projects for beginners to experienced ones.

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Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

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AWS Machine Learning Blog

MARCH 19, 2024

Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs. PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. PandasAI sends this custom prompt to the Amazon Bedrock Claude v2 model.

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Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Zhao, M.

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Dataconomy

AUGUST 11, 2023

The integration of sensors, communication networks, data analytics platforms, and automation tools creates a seamless ecosystem that enables smarter decision-making and real-time responsiveness. This phase often begins with data cleansing, where any noise or irrelevant information is filtered out.

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

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Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

IBM Journey to AI blog

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

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Analytics Analytics Data Analysis Data Analysis 67

Pickl AI

NOVEMBER 15, 2023

Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources. With all data in one place, businesses can break down data silos and gain holistic insights.

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Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52