Big Data, Data and Machine Learning

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

JANUARY 31, 2020

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

JANUARY 31, 2020

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

Artificial Inteligence

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Data engineers vs. data scientists

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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The Future of Machine Learning in Cybersecurity

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

Architecture

Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations

TechCrunch

JULY 12, 2021

to bring big data intelligence to risk analysis and investigations. to bring big data intelligence to risk analysis and investigations. “To do that you need more data and insights.” “To do that you need more data and insights.” “That has been substantial.

Big Data

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The top 15 big data and data analytics certifications

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

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EarthOptics helps farmers look deep into the soil for big data insights

TechCrunch

SEPTEMBER 21, 2021

Farming sustainably and efficiently has gone from a big tractor problem to a big data problem over the last few decades, and startup EarthOptics believes the next frontier of precision agriculture lies deep in the soil. So many just till and fertilize everything for lack of data, sinking a lot of money (Dyrud estimated the U.S.

Big Data

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Companies betting on data must value people as much as AI

TechCrunch

AUGUST 19, 2021

Asaf Cohen is co-founder and CEO at Metrolink.ai , a data operations platform. Those working with data may have heard a different rendition of the 80-20 rule: A data scientist spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights.

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The Shape of Things to Come: What’s the Future of Computer Programming?

The Crazy Programmer

OCTOBER 22, 2020

Artificial Intelligence and Machine Learning. Machine learning is already an integral part of software development and use. Using AI and learning algorithms to classify data and predict outcomes has changed the face of programming, and will only continue to do so. Big Data is Everything.

Programming

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As extreme weather events worsen, 7Analytics meshes AI and big data to predict flooding

TechCrunch

SEPTEMBER 30, 2022

One of these companies is 7Analytics , a Norwegian startup founded back in 2020 by a team of data scientists and geologists to reduce the risks of flooding for construction and energy infrastructure companies. Show me the data. FloodCube in action Image Credits: 7Analytics. ” Startups to the rescue? .

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The industrial data revolution: What founders got wrong

TechCrunch

NOVEMBER 14, 2021

In February 2010, The Economist published a report called “ Data, data everywhere.” Little did we know then just how simple the data landscape actually was. That is, comparatively speaking, when you consider the data realities we’re facing as we look to 2022. And, we’ve also seen big advances in artificial intelligence.

Industry

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The best AI, analytics, and big data conferences of 2022

TechBeacon

JANUARY 4, 2022

Attending AI, analytics, big data, and machine-learning conferences helps you learn about the latest advancements and achievements in these technologies, things that would likely take too long and too much effort to research and master on your own.

Big Data

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What is data science? Transforming data into value

CIO

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data

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12 data science certifications that will pay off

CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

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Machine learning and data warehousing: What it is, why it matters

TechBeacon

AUGUST 18, 2020

One of the many technologies included under the umbrella of artificial intelligence, machine learning is defined by Wikipedia as "a field of computer science that gives computers the ability to learn without being explicitly programmed.".

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS on the Cloudera Data Platform comes pre-configured with all the necessary libraries and dependencies to bring the power of RAPIDS to your projects. Data Ingestion.

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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

NOVEMBER 6, 2021

Data Scientist. Data scientist is the most demanding profession in the IT industry. Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.

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IBM acquires Databand to bolster its data observability stack

TechCrunch

JULY 6, 2022

IBM today announced that it acquired Databand , a startup developing an observability platform for data and machine learning pipelines. Databand employees will join IBM’s data and AI division, with the purchase expected to close on June 27. million prior to the acquisition.

Data

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What is data analytics? Analyzing and managing data for decisions

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics

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Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. They could see that the longer-term issue would be a growing need and priority for data privacy. The germination for Gretel.ai

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. Blockchain.

Healthcare

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What is a data scientist? A key data analytics role and a lucrative career

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Data scientist vs. data analyst.

Analytics

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Seqera Labs grabs $5.5M to help sequence COVID-19 variants and other complex data problems

TechCrunch

SEPTEMBER 7, 2021

Seqera Labs , a Barcelona-based data orchestration and workflow platform tailored to help scientists and engineers order and gain insights from cloud-based genomic data troves, as well as to tackle other life science applications that involve harnessing complex data from multiple locations, has raised $5.5

Data

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How to hire a data scientist

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is one of the most sought after jobs of the 21st century. But how do you hire a data scientist who fits the bill? According to Firstround.com , in a competitive field like data science, strong candidates often receive 3 or more offers, so success rates of hiring are commonly below 50%. Data Science.

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Battery Ventures leads Arize AI’s $19M round for ML observability

TechCrunch

SEPTEMBER 28, 2021

Arize AI is applying machine learning to some of technology’s toughest problems. The company touts itself as “the first ML observability platform to help make machine learning models work in production.” Its technology monitors, explains and troubleshoots model and data issues.

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Superscript, a bespoke insurance provider for SMEs, raises $54 million

TechCrunch

JANUARY 9, 2023

Sophisticated underwriting, tech and data capabilities enable us to provide a highly personalised user and underwriting experience.” And big data insights is also a big part of its promise, where it uses machine learning models to price its risks “more accurately” through crunching a range of data points.

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Data intelligence company Collibra brings in another $250M to more than double its valuation

TechCrunch

NOVEMBER 9, 2021

As more data moves to the cloud, it often still lives in multiple places on a business’ network, making it difficult for organizations to understand and access the right data they need and easier for data breaches to occur. Its products help customers comply with local data protection policies and store data securely.

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The death of identity: Knowing your customer in the age of data privacy

TechCrunch

SEPTEMBER 29, 2021

But in the face of growing demands for privacy, businesses have the opportunity to overhaul their relationship with customer data to focus solely on first-party data and patterns of behavior. Regulators are adopting new data and consumer privacy legislation, most recently seen with the Colorado Privacy Act.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data

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Building a Beautiful Data Lakehouse

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

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Unravel Data lands $50M to make sense of complex data stacks

TechCrunch

SEPTEMBER 28, 2022

The modern data stack consists of hundreds of tools for app development, data capture and integration, orchestration, analysis and storage. ” Agarwal and Babu met at Duke University, where Shivnath was a tenured professor researching how to make data-intensive compute systems easier to manage.

Data

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8 Most in Demand Programming Languages of 2021

The Crazy Programmer

MARCH 15, 2021

Based on this data, we shall explore some of the top results in this article. It is a machine level language and hence more complex in its structure and difficult to learn. It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops.

Programming

Programming Open Source Trends Quality Assurance

Bigeye, providing data quality automation, closes second round this year with $45M

TechCrunch

SEPTEMBER 23, 2021

The company’s technology automatically recommends and monitors data quality, for example telling customers what kind of data metrics to collect and alerting customers if there is an issue like when one of their ordering systems is down before it becomes a bigger problem.

Data

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The market for synthetic data is bigger than you think

TechCrunch

MAY 10, 2022

“By 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated.” ” This is a prediction from Gartner that you will find in almost every single article, deck, or press release related to synthetic data. Last but not least is the time horizon. ” Why the enthusiasm?

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What is predictive analytics? Transforming data into future insights

CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Manufacturing: Predict the location and rate of machine failures.

Analytics

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Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable.

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring and Managing AI Projects with Model Observability.

Big Data

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The best AI, analytics, and big data conferences of 2021

TechBeacon

JANUARY 20, 2021

As in 2020, most conference organizers are once again opting to hold their events virtually, althoug some events scheduled for the latter half of the year are optimistically scheduled to be in-person events.

Conference

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Real-time data startup Quix raises a $12.9M Series A round led by MMC Ventures

TechCrunch

NOVEMBER 14, 2022

The complexity of streaming data technologies – not just streaming video but any kind of streaming data – has created a headache around dealing with that high speed data processing. Real-time data startup Quix raises a $12.9M Accordingly, companies like Spark, Flink have spring up to address this ksqlDB.

Data

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10 most in-demand enterprise IT skills

CIO

DECEMBER 10, 2024

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3.

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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Training Data in HBase and HDFS. Building the Model.

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The rise of the data lakehouse: A new era of data value

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Enter the data lakehouse. Lakehouses redeem the failures of some data lakes.

Data

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

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Data engineers vs. data scientists

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The Future of Machine Learning in Cybersecurity

Embedding BI: Architectural Considerations and Technical Requirements

Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations

The top 15 big data and data analytics certifications

EarthOptics helps farmers look deep into the soil for big data insights

Companies betting on data must value people as much as AI

The Shape of Things to Come: What’s the Future of Computer Programming?

As extreme weather events worsen, 7Analytics meshes AI and big data to predict flooding

The industrial data revolution: What founders got wrong

The best AI, analytics, and big data conferences of 2022

What is data science? Transforming data into value

12 data science certifications that will pay off

Machine learning and data warehousing: What it is, why it matters

NVIDIA RAPIDS in Cloudera Machine Learning

Top 10 Highest Paying IT Jobs in India

MLOps: Methods and Tools of DevOps for Machine Learning

IBM acquires Databand to bolster its data observability stack

What is data analytics? Analyzing and managing data for decisions

Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

10 Key Trends of Digital Transformation in Healthcare in 2022

What is a data scientist? A key data analytics role and a lucrative career

Seqera Labs grabs $5.5M to help sequence COVID-19 variants and other complex data problems

How to hire a data scientist

Battery Ventures leads Arize AI’s $19M round for ML observability

Superscript, a bespoke insurance provider for SMEs, raises $54 million

Data intelligence company Collibra brings in another $250M to more than double its valuation

The death of identity: Knowing your customer in the age of data privacy

What is a data architect? Skills, salaries, and how to become a data framework master

Building a Beautiful Data Lakehouse

Unravel Data lands $50M to make sense of complex data stacks

8 Most in Demand Programming Languages of 2021

Bigeye, providing data quality automation, closes second round this year with $45M

The market for synthetic data is bigger than you think

What is predictive analytics? Transforming data into future insights

Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

3 AI Trends from the Big Data & AI Toronto Conference

The best AI, analytics, and big data conferences of 2021

Real-time data startup Quix raises a $12.9M Series A round led by MMC Ventures

10 most in-demand enterprise IT skills

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

The rise of the data lakehouse: A new era of data value

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