Cloudera

MAY 28, 2019

Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A. Stay tuned.

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year.

Data mining 145

Data mining Big Data Data-driven Data Science 145

CIO Business Intelligence

MARCH 9, 2022

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

NOVEMBER 14, 2019

They have developed analytics models to address looming changes in the dynamic industry. SAS admits that the predictive analytics technology they have worked on has progressed more slowly than they originally anticipated. Is predictive analytics the key to sustainable growth in the gaming industry?

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Statistics 100

Decision Management Solutions

MARCH 11, 2019

How do you choose the right analytics”. The analytics technology to use for decision making is very important, but sometimes it’s hard to know how to select the right one for a given situation. Companies make many different kinds of decisions and different decisions require different technology.

Management 74

Management IT Data Science Analytics Technologies 74

CIO Business Intelligence

APRIL 25, 2022

As a result, data scientists often spend too much time on IT operations tasks, like figuring out how to allocate computing resources, rather than actually creating and training data science models. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Machine Learning 134

Machine Learning Enterprise Deep Learning Cost-Benefit 134

CIO Business Intelligence

JANUARY 20, 2023

And to give employees access to the data they need, organizations will need to move away from legacy systems that are siloed, rigid and costly to new solutions that enable analytics and AI with speed, scalability, and confidence. Just starting out with analytics? Find out more about Intel advanced analytics. [1]

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

Smart Data Collective

JUNE 24, 2022

You can use data analytics technology to make the most of these technical analysis tools. Towards Data Science has a great guide on this, which entails building neural networks to handle them. Use Data Analytics Tools to Create Neural Networks to Spot Fibonacci Retracement Levels.

Data Analytics 119

Data Analytics Analytics Big Data ROI 119

Cloudera

SEPTEMBER 24, 2021

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

CIO Business Intelligence

JUNE 1, 2022

Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? Find out more about Intel advanced analytics. IT Leadership

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

Smarten

APRIL 20, 2020

What is Advanced Analytics and Is It Suitable for Every Business? Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results.

Analytics 69

Analytics Visualization Data Science Analytics Technologies 69

Smart Data Collective

FEBRUARY 7, 2023

Computer users can take advantage of data-driven tools to improve the performance of their devices. Macs can be great tools for data science. Mac users, in particular, may want to find creative ways to use big data to make sure their devices work more efficiently. However, the relationship goes both ways.

Data-driven 121

Data-driven Optimization Big Data Data Analytics 121

Smart Data Collective

JUNE 18, 2021

We have previously talked about the role of predictive analytics in helping solve crimes. However, big data has also led to some concerns with racial profiling and other biases. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 93

Predictive Analytics Forecasting Analytics Big Data 93

Smarten

MAY 23, 2022

To democratize data, improve data literacy and transition business users to the Citizen Data Scientist role, the business must select the right solution and plan for success. NLP search analytics technology improves productivity, user adoption, business results and competitive positioning in the market.’.

Analytics 69

Analytics Key Performance Indicator Visualization Cost-Benefit 69

Smarten

SEPTEMBER 9, 2024

Engage a Skilled IT Partner and Achieve Citizen Data Scientist Success If your business has embraced the Citizen Data Scientist approach and are trying to get started with your initiative, you want to plan for success.

IT 52

IT Consulting KPI Data Science 52

CIO Business Intelligence

JUNE 2, 2022

Davis and her team are using HPC-driven data science and AI to model solutions whereby energy management systems would protect themselves with semi-automated, real-time data analysis. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? IT Leadership

Informatics 98

Informatics Modeling Deep Learning Testing 98

Smart Data Collective

FEBRUARY 28, 2022

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design.

Big Data 116

Big Data Marketing Strategy Data-driven 116

Cloudera

OCTOBER 26, 2023

Data-driven insights help businesses get the jump on their competition, enabling them to predict trends in customer sentiment, build superior forecasting models, and expose market opportunities for competitive advantage. Are you more or less data-driven than they are? If you’ve got ground to make up, begin by democratizing data.

Data-driven 77

Data-driven Predictive Analytics Forecasting Enterprise 77

Smart Data Collective

JANUARY 14, 2021

A growing number of companies are finding new ways to use data-driven tools to streamline various aspects of their projects, including editing workflows. We talked before about editing data science workflows. Similar technology can be useful for improving overall workflows. Invest in the craft.

Data-driven 81

Data-driven Big Data Machine Learning Technology 81

Smarten

SEPTEMBER 9, 2024

These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Smarten

SEPTEMBER 9, 2024

These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science. What are Citizen Analysts?

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Alation

FEBRUARY 13, 2020

With the introduction of a new data lake, MunichRe created a new way for actuaries and business experts to explore new product concepts and test new markets. With the data catalog, energy industry experts in Houston, experts of risk data science in New Jersey, and business experts in Munich all have access to the same data.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Smarten

NOVEMBER 3, 2022

Finance and Accounting Pros Improve Value with Integrated Tally ERP Analytics. Technology research firm Gartner states that, ‘40% of application development teams will be using automated data science and machine learning services to build models that add AI capabilities to their applications.’. ‘By

Analytics 52

Analytics Key Performance Indicator Finance Sales 52

Smarten

NOVEMBER 26, 2023

Find out how business intelligence and analytics technology can improve your enterprise, improve business user data literacy, and ensure analytical clarity and results with seamless, intuitive business intelligence and reporting.’ What is self-serve BI?

Business Intelligence 40

Business Intelligence Data-driven Advertising Reporting 40

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

CIO Business Intelligence

JANUARY 4, 2023

In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

Smarten

DECEMBER 3, 2023

Skills and Experience Your solution provider and partner should have a deep, broad team of professionals, focused on technology and on soft skills. Contact Us to find out how augmented analytics technology can support your enterprise, and ensure analytical clarity and results.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

O'Reilly on Data

MARCH 19, 2020

Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). As organizations adopt analytic technologies, they’re discovering more about themselves and their worlds.

Deep Learning 356

Deep Learning Machine Learning Data-driven Modeling 356

Grooper

AUGUST 19, 2019

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. Best for : the new intern who has no idea what data science even means. The author, Anil Maheshwari, Ph.D.,

Big Data 263

Big Data Data Analytics Analytics Data mining 263