Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Performance.

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Big Data Data Storage Microservices 63

OpenCredo

MARCH 9, 2023

It’s also limited to 64GB in size and 4 cores , which is not really enough for big data ingestion. Now it’s time to add the indexes you planned out in the data modelling phase. On a large dataset, it can take quite a while for it to populate them, but you can still perform other queries while they’re building.

Big Data 52

Big Data Data Backup Tools 52

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

CIO

MAY 16, 2024

These planning tools are constantly transforming at the cutting edge using high performance computing, big data capabilities, and sophisticated intelligence,” Prouty notes. Parameswaran points to Freshgrass as an example. That is all applied to optimizing routes and delivery capabilities.”

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Artificial Inteligence IoT Transportation Analytics 261

CTOvision

SEPTEMBER 9, 2016

Big data benefits businesses in various ways during the employee training process. If you run a company that has analysts, administrators, and data scientists, there are several reasons why you may want to use applications that rely on big data. Better Training and Enhanced Performance. Brigg Patten.

Big Data 62

Big Data Training Data Weak Development Team 62

CTOvision

APRIL 20, 2017

Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. Big data can help you to spot a crisis in your processes or markets or clients.

Big Data 75

Big Data eLearning Data Culture 75

CTOvision

SEPTEMBER 9, 2016

Big data benefits businesses in various ways during the employee training process. If you run a company that has analysts, administrators, and data scientists, there are several reasons why you may want to use applications that rely on big data. Better Training and Enhanced Performance. Brigg Patten.

Big Data 61

Big Data Training Data Weak Development Team 61

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

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Big Data Data CTO Fractional CTO 114

CTOvision

FEBRUARY 18, 2015

On Tuesday, January 27, 2015 CTOvision publisher and Cognitio Corp co-founder Bob Gourley hosted an event for federal big data professionals. The breakfast event focused on security for big data designs and featured the highly regarded security architect Eddie Garcia. By Katie Kennedy. Image below).

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Big Data Data Hardware Authentication 119

CIO

JUNE 7, 2022

Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.

Analytics 338

Analytics Data Analysis Business Analytics 338

TechCrunch

SEPTEMBER 20, 2022

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. Zartico is keenly positioned to lead the technical transformation due to the rapid pivot towards the use of high-frequency big data sets to provide situational awareness.” or to places.”

Tourism 240

Tourism Travel Technical Review Big Data 240

CIO

JANUARY 18, 2023

For example, when trying to fill your cybersecurity positions, there are several places you can look, depending on the specific role you’re trying to fill: A role to raise security awareness within the organization could be a person in HR specializing in organizational culture, or a marketing person specializing in writing marketing materials.

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Technical Review Systems Review Systems Administration SCRUM 299

Altexsoft

JUNE 2, 2020

There are many machine learning algorithms, but most of them perform one of the following tasks: Regression —detect correlations between different datasets and understand how they are related to each other. Clustering works directly on new data without considering previous examples.

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Artificial Inteligence Examples Applications Machine Learning 93

CTOvision

JULY 19, 2014

a leading independent research firm, invited to participate in its report, “The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 1 ”. Streaming Analytics is at the core of our IBO offering and is the basis upon which companies can manage fast ‘Big Data’ and the increasing impact of the ‘Internet of Things’.”.

Big Data 109

Big Data Analytics Software Data 109

CIO

JANUARY 19, 2023

As per the recent IDC InfoBrief “The Significance of Open Source Software in the Digital-First Future Enterprise”, open source software (OSS) is an important driver of enterprise digital innovation and provides greater agility, performance and security compared to proprietary software.

Open Source 342

Open Source Software Review Technical Review Enterprise 342

CIO

APRIL 17, 2023

“One main challenge faced by financial organizations is the complexity of correlated data needed to discover deviant behavior and patterns,” says Archana Trikha, Associate General Manager at Tata Consultancy Services (TCS). These are just some of the advanced technologies TCS deploys and customizes for financial clients,” Trikha says.

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Cloud Artificial Intelligence Artificial Inteligence Banking 264

CIO

JUNE 12, 2023

It can often be found in innovative uses of data. Here’s how manufacturers can harness data analytics to improve performance across three critical areas of their businesses. Predictive or condition-based maintenance uses historical data about equipment performance to predict the likelihood of future failures.

Data 130

Data Pharmaceuticals Automotive Insurance 130

UruIT

JULY 28, 2021

Here are the top 5 examples of how IoT is impacting the healthcare industry: Remote Patient Monitoring . The rise of wearable tech like smartwatches has made it easy for doctors to collect valuable health data from their patients. . With IoT, doctors and researchers can speed up the time it takes to perform statistical studies.

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IoT Healthcare Examples Industry 52

Kentik

MAY 8, 2016

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business. Big Data for Network Management.

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AWS Machine Learning - AI

FEBRUARY 26, 2024

However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness. Refer to the Python documentation for an example.

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Artificial Inteligence AWS Lambda Metrics 107

TechCrunch

FEBRUARY 1, 2022

To underscore the demand for solutions to address this, today a startup called Wayflyer — which has built a new kind of financing platform, using big data analytics and repayments based on a merchant’s revenue activity — is announcing a big round of funding, $150 million. I am taking a performance risk on you.”

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eCommerce Technical Review Big Data Lambda 200

CIO

OCTOBER 26, 2023

Another site, VelvetJobs offers guides to tailoring your resume , a resume builder, resume templates and examples of successful BI analyst resumes. JobHero offers assistance and guidance for writing a BI analyst resume, with different formats and templates for workers with varying seniority, experience and education.

Business Intelligence 317

Business Intelligence Technical Review Data Systems Review 317

Altexsoft

AUGUST 31, 2020

To learn general terms of data processing, take a look at our business intelligence article. Technologies such as machine learning are widely applied to automate medical data analysis around the globe. So in this article, we’re going to explore some real-world examples of healthcare analytics.

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Healthcare Analytics Examples Data 72

OTS Solutions

DECEMBER 12, 2023

There is a fear that AI technologies may replace jobs traditionally performed by humans, leading to unemployment and income inequality. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

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Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

TechCrunch

FEBRUARY 26, 2021

Enterprises Don’t Have Big Data, They Just Have Bad Data. For example, identify specific personas that perform well and perform poorly. A serial entrepreneur, Jeremy co-founded Xtify, acquired by IBM in 2013, and MeetMoi, a location-based dating service sold to Match.com in 2014.

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Analytics Marketing B2C B2B 226

TechCrunch

SEPTEMBER 27, 2021

Sanjay Gajendra, Astera’s chief business officer, notes that the chip giant is collaborating with the startup to develop PCI Express and CXL (Compute Express Link) technology and products to “increase bandwidth, performance, and resource availability in next generation server and storage infrastructure.”

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

JANUARY 12, 2021

For media outlets, Dable offers two big data and machine learning-based products: Dable News to make personalized recommendations of content, including articles, to visitors, and Dable Native Ad, which draws on ad networks including Google, MSN and Kakao.

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Media Machine Learning Artificial Inteligence Big Data 239

TechCrunch

JULY 14, 2022

The idea is to let developers test AI systems and biases — that is, the edge cases where the systems perform poorly — to reduce the time needed for validation, Choi explained in an email interview. “We believe that the era of big data is ending and we’re about to enter the new era of quality data.

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Weak Development Team Testing Company Development 246

TechCrunch

FEBRUARY 23, 2022

However, for private companies, it is hard to know exactly why there was an increase in costs last week — was it due to the company’s performance or happening to everyone else, too. E-commerce companies are data-driven, but typically only have their own historical data to go by, Yarden Shaked told TechCrunch.

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Company Apparel Technical Review Digital Marketing 285

CIO

OCTOBER 13, 2023

This role is responsible for building and maintaining powerful AI algorithms, identifying data requirements, and finding better ways to automate processes in the business to improve performance.

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Generative AI Company Machine Learning Artificial Inteligence 359

Cloudera

FEBRUARY 7, 2019

This has resulted in empowering team members to use innovative techniques to solve problems with advanced model management, to scale up quickly to meet performance needs. Data Powered Decision-Making. For any progressive financial institution, data is the most important asset available to understand customers.

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Big Data Analytics Google Cloud Cloud 67

CIO

MARCH 27, 2024

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. Going Digital to accelerate Innovation and R&D Today’s customer demands digitally integrated and intelligent products.

Automotive 130

Automotive Storage Systems Review Technical Review 130

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. How and Where AI and ML Used in Application Modernization 1.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. How and Where AI and ML Used in Application Modernization 1.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

TechCrunch

NOVEMBER 4, 2021

For example, Gonzalez noted that Sama is the only certified B Corp in the AI infrastructure space and had a mission to move people out of poverty. Just as Sama was attracted to CDPQ’s ESG mission, Theagene said the firm liked Sama’s focus on progress, performance and social mission. How to ensure data quality in the era of big data.

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Artificial Inteligence Training Machine Learning Data 242

Perficient

JANUARY 31, 2024

Join operations are fundamental for data analysis and manipulation, particularly when dealing with distributed and large-scale datasets. Spark provides a rich set of APIs for performing various types of DataFrame joins. crossJoin(df2) Example: These examples illustrate the basic syntax and functionality of Spark Scala SQL joins.

Analysis 52

Analysis Analytics Examples Big Data 52

CIO

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

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