Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

CIO Business Intelligence

JUNE 7, 2022

This enables you to proactively detect and respond, and ultimately reduce the risk of falling victim to ransomware attacks. Ahmed has overseen the successful execution of growth transformation, including at Ariba, where he helped the company emerge from the 2008 recession to become the second most valuable SaaS company by 2012.

Marketing 98

Marketing Machine Learning Dashboards Software 98

Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . In 2008, Cloudera was born. In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape. As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency.

Data Processing 84

Data Processing IoT Cost-Benefit Digital Transformation 84

erwin

MAY 7, 2020

Those organizations that can find ways to extract data and use it to their advantage will be successful. However, we really need to understand what data we have, what it means, and where it is located. Without this understanding, data can proliferate and become more of a risk to the business than a benefit.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

Smart Data Collective

OCTOBER 31, 2022

By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns. Fortunately, the first robo-advisors were created in 2008. The market is constantly changing, which is why many professional analysts make careers out of studying it.

Finance 136

Finance Cost-Benefit Marketing Statistics 136

Smart Data Collective

MARCH 27, 2019

. Frugal living has become a major fad since the onset of the recession in 2008. In other words, they are risking going broke trying to save money. Gaurav Deshpande of the Big Data and Analytics Hub from IBM highlighted this. Consumers saved $3.1 billion with coupons in 2017. Merging deals.

Big Data 63

Big Data Technology Risk Management 63

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

Digital Transformation 54

Digital Transformation Uncertainty Risk Data Warehouse 54

Peter James Thomas

JUNE 20, 2019

A decade later, Gartner had some rather sobering thoughts to offer on the same subject: Gartner predicted that through 2008, about 60% of organizations that outsource customer-facing functions will see client defections and hidden costs that outweigh any potential cost savings. For example in 20 Risks that Beset Data Programmes. . [7].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 245

Machine Learning Testing Modeling Cost-Benefit 245

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

JULY 31, 2022

Traders will have to use it to manage their risks by making more informed decisions. The Spring 2022 forecast’s many unfavorable risks have come to fruition. We mentioned that investors can use machine learning to identify potentially profitable IPOs. As time goes by the global financial crisis intensifies more and more.

Predictive Analytics 132

Predictive Analytics Analytics Uncertainty Forecasting 132

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. FRTB Demands a Streamlined Architecture.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. 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! The probabilistic nature changes the risks and process required. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

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

AWS Big Data

APRIL 28, 2023

There is a risk that two different groups could hash to the same character combination; however, we have checked that there are no collisions in the existing groups. To mitigate this risk going forward, we have introduced guardrails in multiples places. This has shown to be sufficient for our case.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Cloudera

NOVEMBER 3, 2023

EMEA IHV Partner of the Year: Dell Technologies Dell Technologies has been a crucial partner since Cloudera’s founding in 2008. Their Data Health and Lineage capability adds business context to data, enhancing data governance and, in turn helping enterprises accurately assess data risks.

Technology 95

Technology Insurance Strategy Marketing 95

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Observability” risks becoming the new name for monitoring. Object oriented programming is up even more than functional programming: 29% growth since last year. Starting with Python 3.0

Machine Learning 363

Machine Learning Software Testing Technology 363