Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? However, it is not easy to get a career in big data. There are a number of industries that have been heavily influenced by big data, but the gaming sector is probably at the top of the list. More gaming companies are turning to big data experts than ever.

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Smart Data Collective

MARCH 29, 2021

Big data is leading to some major breakthroughs in the modern workplace. One study from NewVantage found that 97% of respondents said that their company was investing heavily in big data and AI. Such technologies include Digital Twin tools, Internet of Things, predictive maintenance, Big Data, and artificial intelligence.

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Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer. Food Technologist.

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Dataconomy

APRIL 28, 2016

In reality, this data is only partially useful for the wearer. Without big data to decipher what is more or less healthy, The post Can Big Data From Wearables Help Us Sleep Better? They track steps and sleep cycles, but just how valuable is that information? appeared first on Dataconomy.

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Dataconomy

OCTOBER 19, 2022

Well, big data, artificial intelligence, and machine learning are having a positive impact on businesses. Aversion to cutting-edge technology has always existed in the finance sector due to security issues, yet modern data science can empower businesses and help them.

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Dataconomy

DECEMBER 17, 2021

According to IDC, IoT data is forecasted to reach 73 zettabytes by 2025, while a recent study by Deloitte estimates that 40% of IoT devices will be capable of sharing location in 2025, up from 10% in 2020. This means time and space data is the fastest-growing big data category.

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Dataversity

AUGUST 25, 2021

Many e-commerce marketers firmly believe that big data is critical to establishing […]. The post 7 Ways Big Data Is Changing E-Commerce appeared first on DATAVERSITY. Brands, especially the e-commerce marketplaces, are putting their prime focus on utilizing it to achieve greater outcomes.

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Smart Data Collective

MARCH 6, 2022

By combining physical and digital security teams in your business infrastructure, you will increase communication and efficiency in leveraging security data. You can leverage physical and digital security data to ensure protection for cloud-based options, optimize your workspace, and create a more futureproof security strategy.

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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. Data lake vs data warehouse: Which is right for me?

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Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

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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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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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Flipboard

APRIL 21, 2025

More recently, Rafa has expanded his skillset to include Generative AI, Machine Learning, Big data and Internet of Things (IoT). Prior to joining AWS, Dr. Li held data science roles in the financial and retail industries. He is a Subject Matter Expert for Amazon Bedrock and Amazon SageMaker AI services.

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Data Science Connect

JULY 26, 2023

Leveraging Big Data for Threat Intelligence Data scientists can analyze large datasets to identify patterns and trends in cyber-threats, providing valuable threat intelligence that informs decision-making and resource allocation.

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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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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. Day in the Life of an AI engineer AI engineers work in various industries as specialists in data science, software engineering, and programming.

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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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Dataconomy

JANUARY 9, 2020

The post 2020: The Decade of Intelligent, Democratized Data appeared first on Dataconomy. 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.

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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

JANUARY 29, 2020

What does the cloud industry has to offer for the year 2020? What are the trends we will see in cloud adoption and cloud-to-cloud migration? How will 5G impact cloud adoption? The global economic outlook has been lukewarm heading into 2020, yet there is much reason for confidence.

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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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Dataconomy

JUNE 27, 2024

This consists of storing data safely to avoid unauthorized access, getting explicit consent from consumers and informing them about the data practices in a transparent way. High-impact social media firms are subject to increased examination under the APRA.

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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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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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ODSC - Open Data Science

JULY 19, 2023

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. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

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AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake.

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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. Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential.

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Pickl AI

JANUARY 16, 2024

Customer Insights Specialist Deciphering consumer behaviour through data, providing invaluable insights for marketing strategies and product development. IoT Data Analyst Analysing data generated by Internet of Things (IoT) devices, extracting meaningful patterns and trends for improved efficiency and decision-making.

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Pickl AI

JULY 23, 2023

While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type. Big Data Big data refers to vast volumes of information that exceed the processing capabilities of traditional databases.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. These professionals work closely with data scientists to create models for the creation of AI, providing as a connection between various data science teams.

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IBM Journey to AI blog

JULY 11, 2024

AI allows businesses to process large amounts of data in real time, anticipate market trends, optimize logistics, and perform routing and scheduling based on changing conditions. Decision-making AI can help with data-driven decision-making by analyzing large datasets and providing insights that humans might miss.

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Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making. Data Types: IoT sensor data (temperature, pressure, etc.)

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IBM Journey to AI blog

JULY 11, 2024

AI allows businesses to process large amounts of data in real time, anticipate market trends, optimize logistics, and perform routing and scheduling based on changing conditions. Decision-making AI can help with data-driven decision-making by analyzing large datasets and providing insights that humans might miss.

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Dataversity

MARCH 8, 2021

Click to learn more about author Devansh Sharma. Somewhere in the city of Houston, Ralph is spending time with his kids in the dining room after a long day at the refinery, when he gets a call that one of the pressure units is down. He takes his laptop and tries to figure out when […]. The post Industry 4.0:

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Heartbeat

JUNE 23, 2023

The study of data points collected over time to determine trends, patterns, and behaviour is known as time series analysis. Time series analysis has become increasingly relevant for a variety of industries, including banking, healthcare, and retail, as big data and the internet of things (IoT) have grown in popularity.

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Pickl AI

JANUARY 23, 2023

The surge of Data Science across the different industrial domains has made it one of the most powerful technologies. One of the major transformations that Data Science will trigger is its application in the healthcare segment. And a deep mine of untouched data remains out there.

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Mlearning.ai

AUGUST 18, 2023

Data Science in Healthcare: Advantages and Applications — NIX United The healthcare industry is one of the most complicated sectors to manage and optimize. Data science in healthcare is a promising field that can change the system and benefit hospitals, medical personnel, and patients.

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