Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Black Hat Hackers Exploit Machine Learning to Avoid Detection. This is largely because of their knowledge of machine learning.

Big Data 85

Big Data Data Processing Machine Learning Predictive Analytics 85

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. As you think of new names, check their availability on web hosting sites. These algorithms are getting better all the time.

Analytics 115

Analytics Cost-Benefit Testing Dashboards 115

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. There’s A Wealth Of Choice. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Smart Data Collective

MARCH 22, 2019

Here are some ways that new predictive analytics and machine learning solutions are solving this dilemma. Deep learning technology can make this happen. Machine learning algorithms are able to identify local Internet connectivity issues, so that they can provide custom pages within or content to those users.

Big Data 45

Big Data Deep Learning Machine Learning Marketing 45

Data Virtualization

SEPTEMBER 23, 2020

I’m referring not only to our technology partners, but also to our cloud partners that host the Denodo Platform, Denodo is a very partner-friendly company, and here I’d like to share some thoughts about how Denodo works with our partners.

Strategy 52

Strategy Data Processing Technology Digital Transformation 52

Ontotext

NOVEMBER 22, 2020

Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data. Multiple and varying ‘views’ of the data are now possible without modifying the data at its source and or the host system.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. to rapidly find and fix bugs faster, significantly lowering the software development rates.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Sisense

OCTOBER 6, 2020

It’s generated by a host of sources in different ways. With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 28, 2023

New Relic also uses different agents for different technologies and requires multiple agents per host. There’s no guessing which agent(s) need to be installed on which hosts. A component’s health is determined by applying machine learning and preset health rules.

Metrics 100

Metrics Data Processing Machine Learning Dashboards 100

IBM Big Data Hub

JULY 24, 2023

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. Predictive analytics helps to optimize IT operations by intervening before an incident happens.

IT 57

IT Analytics Cost-Benefit Predictive Analytics 57

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Cloudera

SEPTEMBER 7, 2023

Just like the open-source system, database, and machine learning (ML) technologies of the past, AI models are narrowing the gap with proprietary alternatives at an incredibly rapid pace. The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics.

Insurance 78

Insurance Risk Data-driven Finance 78

Cloudera

MARCH 17, 2022

That’s ultimately the driver behind the Federal Data Strategy and the 10-year plan , and a host of initiatives such as the State Department’s milestone “Enterprise Data Strategy: Empowering Data Informed Diplomacy” released in 2021. . The public sector already recognizes the enormous potential value of data. The First Leg of the Data Journey.

IoT 80

IoT Cost-Benefit Data-driven Data Strategy 80

CIO Business Intelligence

JANUARY 26, 2023

AppDynamics also offers a proprietary machine learning engine to turn historical data into a plan for efficient deployment. The tool also integrates machine learning and artificial intelligence to help analyze consumption patterns across multiple clouds. Currently available for AWS and Azure.

Management 116

Management Forecasting Dashboards Optimization 116

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. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Timo Elliott

JANUARY 23, 2019

I was honored yesterday to be one of the panelists in one of a series of SAP Radio 2019 prediction shows, hosted by Bonnie D. I’m on at 21′ in — here’s a rough transcript of what I talked about: “My prediction for 2019 is that we’re at the start of a new golden age for human intelligence. .

Data Processing 88

Data Processing Predictive Analytics Machine Learning Dashboards 88

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. IBM watsonx.ai With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The healthcare sector is heavily dependent on advances in big data. Here are some changes on the horizon.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

datapine

JANUARY 21, 2020

Artificial intelligence and machine-learning algorithms used in those kinds of tools can foresee future values, identify patterns and trends, and automate data alerts. Another crucial factor to consider is the possibility to utilize real-time data.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

IBM Big Data Hub

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 50

Data Warehouse Testing Sales Dashboards 50

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Amazon Redshift offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Deployment Style The greatest flexibility comes from solutions that can be easily deployed on-premise at customer sites, hosted in your data center, and made available in the cloud through such data platforms as Amazon Web Services and Microsoft Azure. Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52