Data Science Connect

JULY 24, 2023

The ambitious investment seeks to harness cutting-edge technology, including AI, data analytics, and advanced sensing systems, to enhance sustainability and resilience in these vital sectors. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

Data Scientist 130

Data Scientist Internet of Things Predictive Analytics Analytics 130

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. Companies can also use AI systems to identify anomalies and equipment defects.

Internet of Things 91

Internet of Things Cloud Computing Predictive Analytics Analytics 91

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

MARCH 20, 2023

No industry in 2023 is complete without incorporating AI. How can administrators in supply chains leverage AI to achieve all these benefits while exceeding customer expectations and balancing B2B relationships? AI could use predictive analytics to relay more accurate demand forecasting based on incoming and historical data.

AI 98

AI AI Data Science Predictive Analytics 98

IBM Journey to AI blog

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

AI 116

AI AI ML ML 116

Smart Data Collective

JANUARY 27, 2022

A growing number of careers are predicated on the use of data analytics, AI and similar technologies. More researchers are using predictive analytics and AI to anticipate the outcomes of various food engineering processes, so big data will be even more important to this field in the future. Robotic Engineer.

Big Data 135

Big Data Big Data Internet of Things Data Analyst 135

Dataconomy

MAY 4, 2023

Unsupervised learning techniques are currently used to identify patterns in data without making predictions. Microsoft’s Project Hanover is utilizing machine learning to develop AI-based technology for cancer treatment and personalize drug combinations for Acute Myeloid Leukemia ( AML ).

Machine Learning 192

Machine Learning Machine Learning Algorithm ML 192

Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. AI and ML can streamline various business processes and help maximize your returns margins. Generative AI, a facet of artificial intelligence, has conspicuously emerged as a significant force as far as process automation goes.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Cloud Computing Predictive Analytics 103

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. It’s faster and more accurate.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Dataconomy

JULY 11, 2024

AI and machine learning integration AI in mobile apps Artificial Intelligence (AI) is transforming mobile apps by enabling personalization, predictive analytics, and enhanced user experiences. AI-driven features like voice recognition, image recognition, and chatbots are becoming standard in modern apps.

Azure 103

Azure Machine Learning Machine Learning AWS 103

Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. In this context, Artificial Intelligence (AI) and Big Data Analytics have emerged as powerful tools for enhancing pandemic response efforts. How Was Big Data Analytics Used to Manage Pandemics?

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The healthcare sector is heavily dependent on advances in big data. Here are some changes on the horizon.

Big Data Analytics 101

Big Data Analytics Big Data Analytics Big Data Big Data 101

IBM Journey to AI blog

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Real-time tracking systems, often enabled by Internet of Things (IoT) devices, help companies monitor their supply chain accurately and immediately.

Internet of Things 93

Internet of Things Analytics Analytics Predictive Analytics 93

IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. is a proven, versatile, and AI-ready solution. trillion instructions per day.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

OCTOBER 1, 2024

Summary: Artificial Intelligence (AI) is revolutionizing agriculture by enhancing productivity, optimizing resource usage, and enabling data-driven decision-making. While AI presents significant opportunities, it also faces challenges related to data quality, technical expertise, and integration.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Predictive Analytics Algorithm 52

Pickl AI

OCTOBER 3, 2024

Summary: No-code AI platforms enable users to develop Artificial Intelligence applications without programming knowledge. Introduction No-code AI is transforming the landscape of Artificial Intelligence by enabling individuals and organisations to create AI applications without needing extensive programming knowledge.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

JUNE 4, 2024

Predictive Analytics for Energy Production and Demand Forecasting Imagine a world where energy production seamlessly aligns with demand, minimizing waste and maximizing efficiency. This is the vision that predictive analytics brings to the forefront of sustainable energy solutions.

Analytics 52

Analytics Analytics Predictive Analytics Data Visualization 52

Pickl AI

FEBRUARY 19, 2025

Introduction The Internet of Things (IoT) connects billions of devices, generating massive real-time data streams. IoT data visualization converts raw data generated by Internet of Things (IoT) devices into visual formats such as charts, graphs, maps, and dashboards. What is IoT Visualization?

Data Visualization 52

Data Visualization Power BI Tableau Internet of Things 52

Pickl AI

JULY 31, 2023

While the revolution began with the surge of the internet, but the two revolutionary technologies that stirred a wave of change are Blockchain and Artificial Intelligence. While the concept of Blockchain is fairly new, the term AI or Artificial Intelligence was coined in 1955. In this blog, we are going to explore this aspect closely.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. AI/ML Solutions Architect at Amazon Web Services. About the authors Julia Hu is a Sr.

AWS 90

AWS ML ML Database 90

IBM Journey to AI blog

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

Internet of Things 70

Internet of Things Machine Learning Machine Learning ML 70

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. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Thus, this type of task is very important for exploratory data analysis. Zhao, M.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

IBM Journey to AI blog

JULY 11, 2024

Today, these functions share a common thread: they’re ripe for improvement through artificial intelligence (AI). AI, the technology that enables computers and machines to simulate human intelligence and problem-solving capabilities, is transforming industries.

Artificial Intelligence 49

Artificial Intelligence Artificial Intelligence AI AI 49

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. This empowered users to go beyond basic visualizations and perform advanced analytics tailored to their specific needs.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

Internet of Things 67

Internet of Things Machine Learning Machine Learning Cloud Computing 67

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

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. Machine Learning Understanding the fundamentals to leverage predictive analytics.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JUNE 29, 2023

Internet of Things (IoT) Monitoring With the proliferation of IoT devices, Splunk can collect and analyse data from various IoT sources. Advanced Features Explore advanced features of Splunk, such as machine learning, predictive analytics , and data modeling.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. Outside of work, Fauzan enjoys spending time in nature.

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AWS ML ML Machine Learning 117

IBM Journey to AI blog

JULY 11, 2024

Today, these functions share a common thread: they’re ripe for improvement through artificial intelligence (AI). AI, the technology that enables computers and machines to simulate human intelligence and problem-solving capabilities, is transforming industries.

Artificial Intelligence 40

Artificial Intelligence Artificial Intelligence AI AI 40

Pickl AI

AUGUST 1, 2024

Understanding this role is crucial for anyone interested in pursuing a career in AI and Machine Learning. Techniques such as explainable AI (XAI) aim to provide insights into model behaviour, allowing users to gain confidence in AI-driven decisions, especially in critical fields like healthcare and finance.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

JUNE 6, 2024

Explainability As models become complex, understanding how they arrive at their predictions becomes increasingly difficult. The field of Explainable AI (XAI) is actively developing methods to make models more transparent, allowing users to understand the reasoning behind their predictions.

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52

Pickl AI

DECEMBER 2, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. They can be categorised into several types.These diverse sources contribute to the volume, variety, and velocity of data that organisations must manage.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. They can be categorised into several types.These diverse sources contribute to the volume, variety, and velocity of data that organisations must manage.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

The MLOps Blog

FEBRUARY 5, 2023

Predictive analytics: Streaming data can be used to train machine learning models in real-time, which can be used for predictive analytics and forecasting. Fraud detection : Streaming data can be used to detect and prevent fraudulent activities in real-time, which can help organisations to minimise financial losses.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72