AWS Big Data

AUGUST 11, 2023

Originally, all logs were retained back to 2018. Ontraport has been able to process logs as early as 2018. He is currently working to move Ontraport’s production workloads to AWS and develop data analysis strategies for Ontraport. What’s next? About the Authors Elijah Ball has been a Sys Admin at Ontraport for 12 years.

Data Processing 95

Data Processing Cost-Benefit Optimization Interactive 95

CIO Business Intelligence

APRIL 11, 2022

While buying everyday necessities like groceries online has been a safety strategy for many consumers, the convenience of online shopping is compelling enough for many to continue. That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. Intel® Technologies Move Analytics Forward.

Deep Learning 59

Deep Learning Strategy Risk Data Quality 59

CIO Business Intelligence

OCTOBER 17, 2022

DORA’s uniform requirements for the security of network and information systems encompass not only enterprises in the financial sector, but also critical third-party vendors providing information and communications technology–related services to the financial sector, such as cloud platforms and data analytics.

Risk Management 105

Risk Management Risk Enterprise Testing 105

Corinium

JUNE 6, 2019

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

DECEMBER 8, 2023

In 2021, FanDuel’s workloads almost tripled since they first started using Amazon Redshift in 2018, and they started evaluating Redshift RA3 nodes vs. DC2 nodes to take advantage of the storage and compute separation and deliver better performance at lower costs. He has a keen interest in data analytics as well.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Cloudera

SEPTEMBER 17, 2020

Mike Barlow, Author “Learning to Love Data Science” (O’Reilly 2015) and Co-Author “Smart Cities, Smart Future” (Wiley 2018), Cumulus Partners. the Data Lifecycle. the Data Lifecycle. the Data Lifecycle. Jim Curtis, Senior Research Analyst, Data, AI & Analytics, 451 Research.

B2B 95

B2B Enterprise Data-driven Data Science 95

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

CIO Business Intelligence

MARCH 31, 2023

The exam was developed using the Agile Extension to the BABOK guide and was released in May 2018. The exam’s four main topics include agile mindset (30%), strategy horizon (10%), initiative horizon (25%), and delivery horizon (35%). Your certification will last for three years, at which point you’ll need to renew the certification.

Business Analysis 102

Business Analysis Testing Business Analytics Statistics 102

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. General Data Protection Regulation (GDPR) and Data Science. This informative blog outlines how GDPR affects the practice of data science. First, GDPR imposes limits on data processing and consumer profiling.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

CIO Business Intelligence

FEBRUARY 22, 2023

For others such as Brian Ferris, chief data, analytics, and technology officer at loyalty, marketing, and data analytics consulting firm Loyalty NZ, leading IT abroad was about “gaining huge value in seeing different issues and learning different ways of approaching problems, something that can’t be learnt out of a book.”

IT 98

IT Technology Strategy Consulting 98

Jedox

JULY 17, 2018

After all, turning huge masses of data into actionable knowledge is still challenging. According to Forrester’s 2018 predictions for AI*, 70% of enterprise expect to implement AI over the next 12 months. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Smart Data Collective

FEBRUARY 16, 2021

Another – perhaps even more problematic – is that there is mounting evidence acquired from large scale data analytics that shows that diverse teams are actually more likely to fall victim to such an attack. These “strategies” are less than useful to companies looking to reduce the risk of falling victim to such attacks, though.

Big Data 122

Big Data Data-driven Risk Reporting 122

TIBCO

MARCH 6, 2018

The utilization of this data can be the difference between placing first or second on the podium. Teams also use data to assess performance in light of new regulations. GB of data. It’s not only a matter of having this vast amount of data but also, making sense of the data.

Data-driven 75

Data-driven Data Collection Strategy Analytics 75

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Data-driven strategies are driving change across organizations.

Digital Transformation 64

Digital Transformation Consulting Machine Learning IoT 64

Hurwitz & Associates

JUNE 28, 2018

This approach “opens up” analytics for use by the entire business – breaking down data silos that have grown up inside enterprise data centers. CDOs are responsible for ensuring that data is accurate, governed and managed, and they are increasingly tasked with leading the analytics efforts across their organization.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Why is data analytics important for travel organizations? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. They use data infrastructure at work.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

AWS Big Data

FEBRUARY 1, 2024

Filter data from the Common Crawl dataset As you can see from the create table SQL statement, there are several fields that can help filter the data. For demo purposes, you can improve the processing time with the following strategies: Download the file s3://commoncrawl/crawl-data/CC-MAIN-2023-23/warc.paths.gz

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

CIO Business Intelligence

JULY 17, 2023

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 97

IT Digital Transformation IoT Internet of Things 97

Domino Data Lab

AUGUST 8, 2019

to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!…We Data governance, for the win! Then rethink your hiring strategies w.r.t. Let’s try to avoid a 2018 redux. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

CIO Business Intelligence

FEBRUARY 17, 2023

When Seeripat joined the organisation in 2018, having been the global IT delivery director at multi-national consumer products manufacturer Kimberly-Clark, IT was seen as a back-office cost centre. It’s about driving a data-driven decision-making culture.

IT 105

IT Manufacturing Finance Sales 105

Depict Data Studio

SEPTEMBER 17, 2019

When not developing creative communication strategies for researchers, David is also one half of the team behind? Her strategies will help you learn how to tell data-based stories that will resonate and increase the likelihood that your audience will actually understand, remember, and use your information. Elissa Schloesser.

Visualization 40

Visualization Consulting Dashboards Reporting 40

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. Fact: IBM built the world’s first data warehouse in the 1980’s. The rest is history.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

BizAcuity

MARCH 28, 2022

How can Casinos pursue a player retention strategy? The pandemic brought to the fore, the need for a sustainable player retention strategy that not just scales but also adapts to changing circumstances. No wonder casinos have full-fledged data analytics teams both in-house and outsourced. Online casinos hit paydirt.

Uncertainty 52

Uncertainty Data Warehouse Strategy Data-driven 52

Smart Data Collective

NOVEMBER 19, 2021

Many developers have also started building tools for cryptocurrencies, such as trading platforms, digital wallets (an XMR wallet being only one of many examples), and data analytics tools. But after gaining popularity in 2018, more diverse options have come to market, with some baskets catering to more experienced investors.

Risk 123

Risk Risk Management Metrics Marketing 123

Sisense

JUNE 9, 2021

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Cloudera

DECEMBER 12, 2018

Greg Rahn: It seems just astounding that we have an order of magnitude more data in a single table in 2018, than an entire company had in their single largest database in 2004. There are key-value stores, and many other data storage layers to consider. There’s MongoDB for document stores.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Birst BI

MAY 14, 2019

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. Mona Patel works in Birst’s Product Strategy team.

Analytics 9

Analytics Key Performance Indicator Business Intelligence Visualization 9

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

CIO Business Intelligence

APRIL 12, 2022

Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018. billion it paid for LinkedIn in 2018. Meanwhile the company that used to be Highmetric is now called MajorKey Technologies, and its 420 remaining staff will continue to offer other digital strategy consulting services.

Enterprise 143

Enterprise Technology Consulting Software 143

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 1 for data analytics trends in 2020. 9) Data Automation.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361