Smart Data Collective

SEPTEMBER 30, 2019

Big data is making a number of cybersecurity risks worse than ever. A growing number of companies are starting to explore the need to utilize big data to enhance their digital security. They are also starting to recognize that hackers are using big data as well, so they need to monitor them carefully.

Machine Learning 71

Machine Learning Big Data Risk Interactive 71

Smart Data Collective

AUGUST 8, 2019

Big data is the lynchpin of new advances in cybersecurity. Datanami has talked about the ways that hackers use big data to coordinate attacks. Datanami has talked about the ways that hackers use big data to coordinate attacks. Sadowski said big data is to blame for a growing number of cyberattacks.

Big Data 86

Big Data Data Processing Machine Learning Predictive Analytics 86

Smart Data Collective

JULY 1, 2019

Big data is rewriting the playbook for the criminal justice system. Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research.

Big Data 80

Big Data Cost-Benefit Predictive Analytics Machine Learning 80

Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever.

Big Data 79

Big Data Optimization Insurance Predictive Analytics 79

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. Addressing specific health risks facing seniors. Seniors face a growing number of health risks as they get older. The senior care industry is undergoing a massive transformation.

Cost-Benefit 84

Cost-Benefit Machine Learning Advertising Risk 84

KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

Big Data 47

Big Data Risk Machine Learning 47

Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. AI and Big Data Are Crucial to Cybersecurity in the Medical Field.

Data-driven 132

Data-driven Big Data Manufacturing Software 132

CIO Business Intelligence

JANUARY 3, 2024

Negotiations over the sale of its legacy infrastructure services business are dragging on, and the company is contemplating the sale of more profitable activities such as its big data and security business to meet debt repayment obligations. That is apparently a risk it’s considering. billion and €1.8 billion from Airbus.

Sales 114

Sales Big Data Digital Transformation Risk 114

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Juice Analytics

MARCH 31, 2020

He makes the following points: “Our eyes stretch to the right, and the risk is we perceive that to mean 100%." ebook: Putting people first in your Big Data Initiative. Jul 10, 2019, 2:45 PM. Jul 10, 2019, 1:35 PM. Jul 10, 2019, 12:10 PM. Jul 10, 2019, 9:05 AM. Jul 10, 2019, 8:55 AM.

Visualization 124

Visualization Dashboards Big Data Risk 124

Smart Data Collective

JUNE 27, 2022

Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured. Companies that Rely on Big Data Must Have a Functional IT Department.

Data-driven 110

Data-driven Management IT Big Data 110

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

IBM Big Data Hub

MARCH 25, 2024

” Since 2019, the AI Ethics Board has been co-chaired by two leaders: Christina Montgomery (Vice President, Chief Privacy and Trust Officer) and Francesca Rossi (IBM Fellow, and AI Ethics Global Leader).

Risk 100

Risk Machine Learning Technology Modeling 100

Smart Data Collective

NOVEMBER 25, 2021

The threat of data breaches has become a lot greater in recent years as more businesses and consumers become dependent on big data. The proliferation of big data has made digital privacy concerns much more significant. Some demographics need to be more aware of data priv acy issues than others.

Big Data 98

Big Data Risk Data-driven ROI 98

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. billion outsourcing tasks in 2019.

Data-driven 106

Data-driven Cost-Benefit Data mining Big Data 106

Smart Data Collective

JUNE 10, 2019

When you consolidate log data like this, it is easier to manage and analyze it, allowing you to identify patterns and trends from different log data points of origin and also mitigating the risk of losing that data in a production environment that is scaling all of the time automatically.

Analytics 74

Analytics Strategy Statistics Data Processing 74

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 90

Analytics Insurance Big Data Uncertainty 90

IBM Big Data Hub

FEBRUARY 20, 2024

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

Modeling 121

Modeling Forecasting Reporting Risk 121

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches have become much more common in recent years. One estimate shows that over 37 billion data records were exposed last year. The risk of data breaches will not decrease in 2021. Data must be managed carefully , which means protecting it against security breaches. Data breaches have become the norm.

Statistics 108

Statistics Risk Measurement Software 108

erwin

OCTOBER 31, 2019

In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Smart Data Collective

OCTOBER 28, 2020

That’s a problem since old software quickly becomes a security risk. Archiving may not always be the right choice for an organization, and when to archive data is a decision that needs to be made on a case-by-case basis, and is often a matter of organizational culture. Big Data, Big Costs.

Cost-Benefit 129

Cost-Benefit Risk Metadata Software 129

Smart Data Collective

JUNE 3, 2021

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Reducing the churn rate : The algorithms are trained with huge amounts of data that the insurer already has on hand.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

IBM Big Data Hub

DECEMBER 8, 2023

These teams are given the impossible task of driving down risk by patching software across their organization, with the hope that their efforts will help to prevent a cybersecurity breach. Does reducing the number of critical CVEs significantly reduce the risk of a breach?

Risk 74

Risk Testing Reporting Software 74

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. His current focus is sharing the benefits of using Amazon Redshift, Amazon’s native cloud data warehouse.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

Smart Data Collective

SEPTEMBER 30, 2021

to help with data processing , but it still proves challenging. One particular company, Watershed, hopes to be able to build a tool in which raw data can yield insight and concrete actions in which carbon emissions are reduced. Drought Risk Assessment and Prediction. Many companies use platforms like Spark 3.0

Machine Learning 122

Machine Learning Cost-Benefit Optimization Forecasting 122

TDAN

DECEMBER 31, 2019

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. An especially problematic example of unintended consequences involves the use of big data in trial sentencing. Apple and Goldman Sachs found that out the hard way in 2019.

Machine Learning 117

Machine Learning Big Data Consulting Technology 117

Smart Data Collective

APRIL 9, 2019

In 2019, it has become one of the largest industries in the world. Big data is going to have a large impact on the direction of this growing industry. iGaming Evolves with Big Data. Big data is going to play a more important role in all of them. iGaming accounted for 8% ($33.8

Technology 67

Technology Big Data Cost-Benefit Risk 67

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives. Debt and Income Ratio.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

IBM Big Data Hub

JANUARY 25, 2024

trillion, up from USD 864 billion in 2019 to 2020. Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem. Now, consider the just-in-case approach.

Optimization 79

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 79

Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . So private clouds, or on-premises data centers, became more suitable for sensitive data. In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape.

Data Processing 88

Data Processing IoT Cost-Benefit Digital Transformation 88

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 125

Testing Behavioral Analytics Data-driven Big Data 125

IBM Big Data Hub

MARCH 18, 2019

Support for Netezza TwinFin and Striper models will end as early as June 2019, potentially leaving business-critical data in unsupported environments. Yet there’s no need for long-time Netezza customers to take those risks. The next stage in Netezza’s evolution has already arrived.

Data Strategy 74

Data Strategy Strategy Risk Modeling 74

Smart Data Collective

FEBRUARY 8, 2022

However, it has also created a lot of risks. As more data is stored over the Internet, we are more vulnerable than ever. In the first six months of 2019, over 4.1 billion records were exposed in data breaches. You must appreciate the risks of possible data breaches and take appropriate measures to prevent them.

Risk 78

Risk Recreation/Entertainment Measurement Strategy 78

IBM Big Data Hub

AUGUST 9, 2023

Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 Why phishing simulations are important Recent statistics show phishing threats continue to rise. million phishing sites.

Testing 79

Testing Measurement Behavioral Analytics Reporting 79

Smart Data Collective

JANUARY 14, 2021

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. While this obviously means that there is more risk, it also gives more informed investors a chance to beat market benchmarks. Every individual investor has their own set of objectives.

Predictive Analytics 83

Predictive Analytics Forecasting Analytics Machine Learning 83

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. Congratulations to all of our partner winners – we will see you next year at Strata 2019! Business Excellence Awards.

Machine Learning 44

Machine Learning Big Data Risk Marketing 44