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

DataRobot Blog

MARCH 16, 2023

This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly. The integration of DataRobot and Azure OpenAI Service breaks down a barrier that has long existed between data teams and business stakeholders.

Data Science 98

Data Science Technology Data-driven Modeling 98

Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Today, interactions with a brand spans omnichannel touchpoints.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

Rocket-Powered Data Science

MARCH 19, 2019

We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

Analytics 193

Analytics Metrics Data-driven Machine Learning 193

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Insight

APRIL 28, 2020

Originally posted on Open Data Science (ODSC). In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. Designing a Data Science Interview Onsite interviews are indispensable, but they are time-consuming.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Rocket-Powered Data Science

AUGUST 22, 2021

The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities. CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

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. This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. What are Data Scientists?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. You can identify data drift, missing information, and other issues, and take corrective action before bigger problems occur.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

bridgei2i

OCTOBER 27, 2020

Using Data Science to Power Demand Generation in the Digital Focused Economy. As the conversation moves towards digital, the new customer journeys create large volumes of data throughout the loop. To drive all the insights, an organization will need to have not just good data engineering and reporting capability.

Data Science 75

Data Science Sales Marketing Data-driven 75

Domino Data Lab

JULY 28, 2021

The data science lifecycle (DLSC) has been defined as an iterative process that leads from problem formulation to exploration, algorithmic analysis and data cleaning to obtaining a verifiable solution that can be used for decision making. The data science process in a business environment begins with the Manage stage.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

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 128

Data mining Data-driven Statistics OLAP 128

IBM Big Data Hub

FEBRUARY 8, 2022

To effectively manage the program, we need to work with the parents, through hundreds of interactions, for hundreds of kids,” said Executive Director Jerry Yang, Ph.D., So, we needed a good data system to track all these things.” Solving the data dilemma — fast and accurate capture, reporting and interpretation. About PMsquare.

Data-driven 55

Data-driven Analytics Reporting Dashboards 55

Insight

APRIL 10, 2019

Insight’s Data Science & Data Engineering programs expand to Los Angeles Photo by Pedro Marroquin on Unsplash We are excited to announce that the Insight Data Science and Data Engineering Fellows Programs are expanding to Los Angeles beginning September 2019. and Megan Schroeder from the LA Dodgers.

Data Science 75

Data Science Machine Learning Finance IoT 75

Smart Data Collective

OCTOBER 11, 2023

We mentioned that Python is one of the best programming languages for data science and AI applications. It offers a wealth of tools and features that empower developers to craft responsive, interactive, and visually stunning user interfaces. Angular’s architecture enables efficient rendering and data binding.

Machine Learning 100

Machine Learning Interactive Predictive Analytics Data-driven 100

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

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

bridgei2i

MAY 11, 2020

Catalysing Digital CX using Data Science Capabilities in the Post COVID World. Change in interaction patterns. Change in Interaction Patterns. With employees and customers operating from home, every CX service organization across enterprises is seeing a visible shift in interaction patterns.

Data Science 52

Data Science Interactive Enterprise Strategy 52

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 133

Risk Management Risk Cost-Benefit Technology 133

Smart Data Collective

MARCH 14, 2023

Locally run AI models can be more interactive. Other programming languages such as Python and R still tend to be more popular for AI and data science projects. If you are interested in creating AI and data science projects with JS, you can read this article on choosing the best framework.

Interactive 101

Interactive IoT Data Science Data-driven 101

CIO Business Intelligence

JUNE 29, 2022

Many lack the necessary quality of data, or the financial resources and internal talent to speedily turn that data into reliable, relevant insights. They move from manual to automated data wrangling, to deliver results in an easy-to-view format, achieve consistency and limit errors.

Predictive Analytics 134

Predictive Analytics Analytics Data-driven Forecasting 134

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

Smart Data Collective

APRIL 5, 2021

With individuals and their devices constantly connected to the internet, user data flow is changing how companies interact with their customers. Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data?

Big Data 108

Big Data IT Data-driven Sales 108

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for. Surveys are an ideal delivery system for these efforts.

Data Strategy 97

Data Strategy Strategy Data-driven Big Data 97

AWS Big Data

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.

Data Lake 73

Data Lake Data Science Recreation/Entertainment Experimentation 73

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

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

FineReport

MAY 30, 2024

In today’s data-driven world, the data visualization specialist plays a pivotal role in transforming complex information into visually appealing formats. The demand for skilled professionals in this field is rapidly increasing as businesses rely more on data for decision-making and operations.

Visualization 52

Visualization Dashboards KPI Reporting 52

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

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 352

Machine Learning Statistics Data Quality Modeling 352

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

datapine

APRIL 11, 2019

In the contemporary world of business, the age-old art of storytelling is far from forgotten: rather than speeches on the Senate floor, businesses rely on striking data visualizations to convey information, drive engagement, and persuade audiences. . Download our 10-step checklist and see how to tell the best data story.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle. For one, Python remains the leading language for data science research. ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

JANUARY 26, 2024

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 100

Machine Learning Statistics Recreation/Entertainment Data Science 100

Smart Data Collective

OCTOBER 7, 2023

In an age dominated by AI technology, the ways in which we interact with the world around us are continuously evolving. Marco Cerliani has a great article in Towards Data Science on the benefits of AI in the people tracing field. Many apps, from dating applications to fitness trackers, ask for permission to access this data.

Technology 94

Technology Snapshot Data-driven Machine Learning 94

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66