datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Rocket-Powered Data Science

APRIL 25, 2019

A few years ago, I generated a list of places to receive data science training. Learn the what, why, and how of Data Science and Machine Learning here. That list has become a bit stale. So, I have updated the list, adding some new opportunities, keeping many of the previous ones, and removing the obsolete ones.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Analytics Vidhya

JANUARY 16, 2023

This article was published as a part of the Data Science Blogathon. According to recent statistics, one-third of all food produced globally is wasted. The post Food Waste Management: AI Driven Food Waste Technologies appeared first on Analytics Vidhya.

Technology 319

Technology Management Statistics Data-driven 319

Analytics Vidhya

JUNE 1, 2022

.” – Fernando Torres Spanish footballing giant Sevilla FC together with FC Bengaluru United, one of India’s most exciting football teams have launched a Football Hackathon – Data-Driven Player Performance Assessment. This Hackathon will be a unique opportunity to effectively use data science in […].

Data-driven 383

Data-driven Data Science Analytics Structured Data 383

Analytics Vidhya

NOVEMBER 20, 2023

Introduction With the rise of AI, we’ve come to rely more on data-driven decision-making to simplify the lives of working professionals. Whether it’s supply chain logistics or approving a loan for a customer, data holds the key.

Data Science 313

Data Science Data-driven Analytics IT 313

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

Analytics Vidhya

JUNE 5, 2023

Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data.

Strategy 284

Strategy Statistics Machine Learning Data-driven 284

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 119

Data Science Statistics Data-driven Machine Learning 119

KDnuggets

JULY 13, 2022

Build statistical and analytical expertise as well as the management and leadership skills necessary to implement high-level, data-driven decisions in Northwestern’s online Master of Science in Data Science program.

Data Science 110

Data Science Statistics Data-driven Management 110

Jen Stirrup

NOVEMBER 15, 2022

Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. It is such a fundamental question.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

DataKitchen

DECEMBER 30, 2020

We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year. DBTA’s 100 Companies That Matter Most in Data. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241

Testing Big Data Statistics Manufacturing 241

CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data Science 143

Data Science IT Machine Learning Data-driven 143

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Security is surging. to be wary of.

Data-driven 363

Data-driven Software Statistics Marketing 363

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. It is understandable that many computer science majors are considering pursuing careers in this evolving field. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. Its primary focus is to use user-generated data to good use.

Data Science 121

Data Science Big Data Machine Learning Statistics 121

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Smart Data Collective

MAY 23, 2021

Using data science and artificial intelligence can be useful for this type of growth. Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. Data science. Data science can be used to spot trends and patterns in your business.

Data Science 118

Data Science Cost-Benefit Statistics Predictive Modeling 118

Business Over Broadway

JANUARY 20, 2019

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). Data scientists and machine learning engineers rely on programming languages to help them get insights from data.

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

Smart Data Collective

FEBRUARY 7, 2023

Big data technology is obviously heavily dependent on computer hardware. Computer users can take advantage of data-driven tools to improve the performance of their devices. Macs can be great tools for data science. However, the relationship goes both ways.

Data-driven 121

Data-driven Optimization Big Data Data Analytics 121

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Rocket-Powered Data Science

OCTOBER 6, 2023

In the world of data there are other types of nuanced applications of business analytics that are also actionable – perhaps these are not too different from predictive and prescriptive, but their significance, value, and implementation can be explained and justified differently. (b) This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

DataRobot Blog

MARCH 16, 2023

The integration of DataRobot and Azure OpenAI Service breaks down a barrier that has long existed between data teams and business stakeholders. Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists.

Data Science 98

Data Science Technology Data-driven Modeling 98

CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. The University of Michigan offers a PhD in CSE, master’s in CSE, and master’s in data science.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Or you are only currently using data for a few use cases and struggle to implement organization wide. Or you are only currently using data for a few use cases and struggle to implement organization wide.

Data-driven 84

Data-driven Enterprise Data Governance Unstructured Data 84

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smarten

FEBRUARY 19, 2025

It must be based on historical data, facts and clear insight into trends and patterns in the market, the competition and customer buying behavior. With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists.

Predictive Analytics 62

Predictive Analytics Analytics Predictive Modeling Forecasting 62

Smart Data Collective

AUGUST 10, 2021

In today’s market, it’s hard to thrive or even just survive without collecting data. Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data.

Analytics 132

Analytics Data-driven Data Science Advertising 132

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Enterprise 343

Enterprise Testing Modeling Reporting 343

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137