Smart Data Collective

MAY 24, 2019

Machine learning is playing an increasingly important role in web development. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

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Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. 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. Big Data is Driving Massive Changes in Healthcare.

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Dataconomy

JANUARY 9, 2020

From wild speculation that flying cars will become the norm to robots that will be able to tend to our every need, there is lots of buzz about how AI, Machine Learning, and Deep Learning will change our lives. The post 2020: The Decade of Intelligent, Democratized Data appeared first on Dataconomy.

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Data Science Dojo

JANUARY 12, 2023

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake. It may be easily evaluated for any purpose.

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Dataconomy

JANUARY 23, 2020

How are various organizations handling the accelerating transition of data to the cloud? What are the obstacles in data cleaning for analytics and the time constraints companies face when preparing data for analytics, AI and Machine Learning (ML) initiatives? Here is a look at some insights from a recent report.

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Dataconomy

OCTOBER 30, 2020

The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual.

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The Data Administration Newsletter

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)

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Flipboard

APRIL 21, 2025

Evaluation plays a central role in the generative AI application lifecycle, much like in traditional machine learning. More recently, Rafa has expanded his skillset to include Generative AI, Machine Learning, Big data and Internet of Things (IoT).

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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.

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AWS Machine Learning Blog

OCTOBER 31, 2024

He enjoys supporting customers in their digital transformation journey, using big data, machine learning, and generative AI to help solve their business challenges. He is also personally passionate about robotics and Internet of Things (IoT), and he constantly looks for new ways to use technologies for innovation.

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Dataconomy

SEPTEMBER 4, 2023

Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data. Big data analytics is essential for organizations dealing with large-scale data, such as social media platforms, e-commerce giants, and scientific research.

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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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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.

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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.

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Data Science Blog

APRIL 13, 2023

Data-driven approaches have become standard across many industries, but some still need to catch up for using Big Data. Health care has slowly embraced digital transformation and data analytics, but senior living facilities have room to improve under that umbrella.

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ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

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Dataconomy

AUGUST 3, 2016

Meet the people at the forefront of Big Data and world changing technology Where: Habima Theatre, Tel Aviv, Israel When: September 25th 2016 datanatives.io Taking place in one of the world’s largest startup nations, Data Natives Tel Aviv celebrates four areas of technology that are driving business innovation and.

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AWS Machine Learning Blog

JANUARY 30, 2025

Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development. In her free time, Lauren enjoys reading an playing the piano and cello.

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Towards AI

FEBRUARY 15, 2024

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

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Dataconomy

AUGUST 9, 2023

This data can then be collected, analyzed, and utilized to gain insights, make informed decisions, and optimize processes. This data includes information about user behavior, preferences, locations, interactions, transactions, and more. IoT and connected devices : The Internet of Things has played a crucial role in datafication.

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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. Ensure that sensitive data remains within their own network, improving security and compliance.

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Dataconomy

AUGUST 31, 2023

The topics explored during the event spanned a diverse array of subjects, including AI and machine learning, big data and analytics, cloud computing, data security and compliance, DevOps and continuous delivery practices, the Internet of Things (IoT), Kubernetes orchestration, machine learning operations (MLOps), serverless computing, security considerations, (..)

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IBM Journey to AI blog

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Low code helps businesses streamline workflows and accelerate the development of websites and mobile apps, the integration of external plugins, and cloud-based next-gen technologies, like artificial intelligence (AI) and machine learning (ML).

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Smart Data Collective

DECEMBER 20, 2019

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. From retail and commerce to manufacturing, the technology continues to do some pretty amazing things in nearly every sector. The civil engineering field is no exception.

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Smart Data Collective

SEPTEMBER 16, 2019

Big data is changing the nature of mechanical systems in every way imagineable. This means that you need to consider the implications of big data when choosing mechanical components for various systems. How Rotary Joints Impact the Trasnmission of Data. Select the Right Rotary Bearings for an IoT Machine Network.

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Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. Other key technologies that have recently opened doors to unprecedented growth opportunities in the corporate world include Big Data , the Internet of Things (IoT), cloud computing, and blockchain.

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AWS Machine Learning Blog

APRIL 18, 2023

These challenges include but are not limited to: build and maintain a complex infrastructure of sensors collecting data from the field, obtain a reliable high-level summary of industrial asset fleets, efficiently manage failure alerts, identify possible root causes of anomalies, and effectively visualize the state of industrial assets at scale.

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Smart Data Collective

DECEMBER 16, 2019

Primarily, the role that IT systems play begins and ends with data, which is the constant input and output of computerized devices. It is therefore not surprising that the current trend for businesses is to seek solutions for big data adoption and usage.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

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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? pip install tensorflow== 2.7.1 !

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IBM Journey to AI blog

JUNE 29, 2023

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0 Companies can also use AI to identify anomalies and equipment defects.

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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.

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Dataconomy

JULY 15, 2019

What do businesses need to understand about data driven AI to successfully drive their operations into the future? How are dynamic IT operations affecting company culture? Risks that previously stayed inside organizational units, such as IT Ops, now leak across domains, influencing decision-making for the entire company.

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Pickl AI

JULY 29, 2024

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. In a Hadoop cluster, data stored in the Hadoop Distributed File System (HDFS), which spreads the data across the nodes.

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Dataconomy

APRIL 20, 2023

Digit-computers are capable of processing and analyzing vast amounts of data quickly and accurately, which has enabled significant advances in fields like artificial intelligence, machine learning, and big data analytics.

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Dataconomy

OCTOBER 9, 2018

This time lies a huge opportunity for data-driven startups to innovate and collaborate with the big traditional corporates that exist in the. The post What can data-driven startups gain from Ruhrgebiet region in Europe?

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IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Uber, for example, depends on a microservices architecture to build and release its ride-hailing and food-delivery services quickly.

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