CIO Business Intelligence

JUNE 7, 2022

The Anomali Platform machine learning Domain Generation Algorithm (DGA) capability allows an analyst to quickly identify suspicious command and control connections associated with ransomware and all its variants. Stop the Communication.

Marketing 98

Marketing Machine Learning Dashboards Software 98

Cloudera

JANUARY 26, 2022

In 2008, Cloudera was born. As the latest technology—edge computing, machine learning, and IoT—continues to evolve along with cloud computing, analysts are expecting hybrid cloud adoption to accelerate. . The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW.

Data Processing 89

Data Processing IoT Cost-Benefit Digital Transformation 89

Cloudera

FEBRUARY 4, 2021

Risk management and compliance have been dynamic and evolving domains, especially since the financial crisis of 2008. Cloudera Data Platform (CDP) is an end-to-end data management, analytics, and machine learning platform that helps financial services manage their enterprise data. End-to-end Data Lifecycle.

Risk 90

Risk Marketing Technology Management 90

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Machine Learning . 1 2008 7009728. Cloudera Data Engineering (Spark 3) with Airflow enabled.

Snapshot 96

Snapshot Data Warehouse Machine Learning Cost-Benefit 96

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

Smarten

JUNE 17, 2022

It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

DataRobot

AUGUST 3, 2021

One reason people like the terms machine learning or neural networks is that they’re more specific. That is what led Joshua to found Lex Machina in 2008. Joshua prefers a different construct: “ AI is math applied to data. That’s something we can grapple with, and that doesn’t terrify people.

Informatics 52

Informatics Statistics Machine Learning Software 52

Smart Data Collective

FEBRUARY 28, 2023

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. However, machine learning can also help financial professionals as well. How Does Machine Learning Impact Risk Parity?

Machine Learning 84

Machine Learning Risk Cost-Benefit Marketing 84

Smart Data Collective

MARCH 22, 2019

We saw a decline in real estate agents after the financial crisis of 2008, but the crisis wasn’t the only factor that drove agents to leave the business. Google has also made it easier for buyers to learn about the home-buying process. The 2008 financial downturn forced many real estate professionals to rethink their business models.

Big Data 66

Big Data Cost-Benefit Marketing Strategy 66

Jet Global

MARCH 5, 2019

Bloomberg economist Michael McDonough has tracked companies mentioning ‘artificial intelligence’ on earnings calls since 2008 and has found that while the number of mentions has ballooned, the actual applications have not 1. So what can AI actually do? Facebook’s facial recognition photo tagging is an example of a vision system.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Cloudera

DECEMBER 18, 2018

Centralizing IoT data processing, analytics and machine learning here enables deep business insights and actionable intelligence. End to end analytics and machine learning uncover value and insight for innovation and differentiation. Full data control lets organizations meet privacy and regulatory requirements.

IoT 43

IoT Internet of Things Machine Learning Insurance 43

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

MAY 12, 2019

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. Predictive analytics uses AI (Augmented Intelligence) and ML (Machine Learning) to identify other patterns and relationships that might be hidden or harder to realize.

Analytics 79

Analytics Dashboards KPI Measurement 79

AWS Big Data

APRIL 25, 2023

AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Step Functions is used to orchestrate the data processing.

Sales 74

Sales Visualization Software Marketing 74

Dataiku

OCTOBER 23, 2019

Financial instruments like options and futures have been around for quite a while, and although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for lots of companies around the world.

Deep Learning 11

Deep Learning Machine Learning Marketing 11

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). In the following sample code, we generate a report showing the quarterly sales for the year 2008. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select(

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

O'Reilly on Data

SEPTEMBER 19, 2023

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Those algorithms packaged with scikit-learn?

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. I can plot a line from high school “Algebra II” to the math needed for machine learning. Feature Engineering for Machine Learning.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

IBM Big Data Hub

FEBRUARY 4, 2022

During the financial crisis in 2008, the trust levels of bank clients dipped. In Europe, it’s been used since 2008 for cross-border payments under the Single Euro Payments Area (SEPA). Learn more about how IBM Financial Manager can help with your payments and ISO 20022 journey. Evolution of ISO 20022.

Cost-Benefit 120

Cost-Benefit Machine Learning Reporting Marketing 120

Ontotext

JANUARY 21, 2021

FIBO’s roots may be found in the Semantic Repository , which was a model specified using OWL constructs expressed through UML tooling, developed by Mike Bennett of the EDMC and first appearing in 2008. From the start, it was useful, the tabular representation being used in several firms that I’m aware of.

Modeling 72

Modeling Finance Technology Insurance 72

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. UCI machine learning repository. Machine learning for the detection of oil spills in satellite radar images.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

CIO Business Intelligence

MARCH 22, 2022

In his new role, Ramamoorthy will lead technology and digital transformation for the bank, as well as be responsible for modern technologies such as APIs, AI and machine learning, and business intelligence. He then moved to Capgemini as a consultant in 2008 before joining Hindustan Unilever in 2012.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Smart Data Collective

JULY 31, 2022

We mentioned that investors can use machine learning to identify potentially profitable IPOs. Machine learning algorithms could evaluate socioeconomic trends from around the world to make better forecasts. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Cloudera

DECEMBER 9, 2021

National Payments Corporation of India (NPCI) is a division of the Reserve Bank of India created in 2008 to operate retail payments systems. . In addition, the company is using machine learning (ML) for fraud detection. This is a win for MTN’s customers who are able to take advantage of a more connected life. .

Data Lake 89

Data Lake Data-driven Finance Machine Learning 89

AWS Big Data

APRIL 26, 2024

AWS Lake Formation allows data administrators to centrally govern, secure, and share data for analytics and machine learning (ML). For User role ¸ you can create a new role or choose an existing role. For this post, we choose the role we created ( emr_tip_role ). Fine grained access control is done using Lake Formation.

Analytics 97

Analytics Data Lake Management Enterprise 97

CIO Business Intelligence

DECEMBER 13, 2023

Over the past 15 years, its stock price grew from a low of $20 in 2008 to $170 today as it diversified into new areas of business, research, and workflow products for legal, accounting, and tax professionals. In April, the company launched its generative AI education initiative with a global learning day, attended by 14,000 people.

Enterprise 137

Enterprise Consulting Risk Marketing 137

Domino Data Lab

AUGUST 8, 2019

Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists. Meanwhile, many organizations also struggle with issues that are encountered only after machine learning models get deployed in production.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Data Science and Beyond

JULY 22, 2018

It’s not all about machine learning. Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. But what does it mean? What do I actually do here?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Cloudera

JANUARY 3, 2019

Our pre-merger customer bases have very little overlap, giving us a considerable enterprise installed base whose demand for IoT, analytics, data warehousing, and machine learning continues to grow. Every large company we work with is eager to adopt machine learning and AI, but unsure how to do so.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75

Cloudera

MARCH 18, 2021

FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. A machine learning ops framework that supports regular backtesting and P&L on attribution testing. 30x increase in computational requirements. . FRTB Demands a Streamlined Architecture.

Risk 56

Risk Machine Learning Risk Management Measurement 56

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. Blockchain was invented in 2008 to serve as a ledger of the cryptocurrency bitcoin. The coolest innovation in modern currency, ever.

Technology 279

Technology Internet of Things IT IoT 279

BizAcuity

MAY 10, 2022

2008: Microsoft announces Windows Azure (PaaS) with Azure Blob storage (S3 competitor). Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Google releases Kubernetes.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Alation

AUGUST 5, 2021

Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their business intelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data.

Data Quality 52

Data Quality IT Data Governance Sales 52

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Real Estate” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. Machine learning brings new challenges, but also transformative power, to our customers. It staffed up a team to drive Hadoop forward, and hired Doug.

Uncertainty 75

Uncertainty IoT Risk Reporting 75