Pickl AI

JUNE 4, 2024

By establishing a well-defined data collection and management strategy, organizations in the sustainable energy sector can harness the power of data to optimize energy production and consumption, drive efficiency improvements, and ultimately contribute to a cleaner energy future.

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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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Pickl AI

OCTOBER 1, 2024

By analysing data on demand patterns and transportation routes, AI systems can reduce waste and improve efficiency. Example: Predictive Analytics for Supply Chains IBM Food Trust employs blockchain technology combined with AI analytics to enhance transparency in food supply chains.

Artificial Intelligence 52

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Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Natural Language Processing and Report Generation.

Business Intelligence 102

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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.

Big Data Analytics 52

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Pickl AI

SEPTEMBER 3, 2024

Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications. Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent.

Natural Language Processing 52

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Smart Data Collective

JULY 2, 2019

Kaiserwetter, a German data analytics firm that specializes in managing wind farms, has developed a pioneering system that combines several digital technologies that are making headway. But how can the “Internet of Things” contribute to energy efficiency?

Analytics 76

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Pickl AI

JULY 29, 2024

Log Analysis These are well-suited for analysing log data from various sources, such as web servers, application logs, and sensor data, to gain insights into user behaviour and system performance. Organisations that require low-latency data analysis may find Hadoop insufficient for their needs.

Hadoop 52

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Pickl AI

OCTOBER 3, 2024

Applications include: Customer Segmentation: Marketers can use no-code platforms to analyse customer data and segment audiences based on behaviour and preferences, allowing for more targeted marketing strategies. The post No-code AI: A Detailed Analysis appeared first on Pickl.AI. What are Some Examples of No-code AI Applications?

Artificial Intelligence 52

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

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The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data?

Machine Learning 72

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Pickl AI

JULY 20, 2023

It involves deeper analysis and investigation to identify the root causes of problems or successes. Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.

Analytics 40

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Pickl AI

AUGUST 24, 2023

Local Data Governance: Edge Computing empowers organizations to adhere to data governance regulations by enabling them to process and store data locally, ensuring compliance with data sovereignty laws. Support for IoT Growth: As the Internet of Things (IoT) continues to expand, Edge Computing is a natural fit.

Cloud Computing 52

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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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Pickl AI

JUNE 6, 2024

Enter predictive modeling , a powerful tool that harnesses the power of data to anticipate what tomorrow may hold. What is Predictive Modeling? Predictive modeling is a statistical technique that uses Data Analysis to make informed forecasts about future events.

Internet of Things 52

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Pickl AI

JULY 31, 2023

Endor Protocol (EDR) A predictive analytics platform that allows businesses to access AI-powered insights without exposing raw data, thanks to Blockchain-based privacy solutions. Effect.ai (EFX) A decentralized AI platform that connects businesses and developers, offering services for AI training and data processing.

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