datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example.

Software 335

Software Machine Learning Risk Data-driven 335

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Why AI software development is different.

Management 363

Management Machine Learning Experimentation Metrics 363

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 281

Strategy Statistics Machine Learning Data-driven 281

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

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

FEBRUARY 21, 2021

Deep learning tech is influencing and enhancing many industries, promising to provide insights into key business operations which were not previously possible to unearth. One of the biggest applications of this technology lies with using deep learning to streamline fleet management. Route adjustments made in real time.

Deep Learning 108

Deep Learning Management Cost-Benefit Manufacturing 108

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smart Data Collective

JANUARY 13, 2022

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make. Artificial intelligence and machine learning tools have advanced over the years.

Machine Learning 139

Machine Learning Cost-Benefit Marketing Deep Learning 139

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. Cloudera and Dell Technologies for More Data Insights.

Data-driven 110

Data-driven Analytics Machine Learning Deep Learning 110

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different.

IT 364

IT Testing Experimentation Software 364

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). Invest in continuous learning. Deep Learning is a specific ML technique. AI | Now | Global Maxima. Add new/different value.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 343

Visualization Data-driven Interactive Analytics 343

Analytics Vidhya

JUNE 14, 2024

Introduction Have you ever struggled with managing complex data transformations? In today’s data-driven world, extracting, transforming, and loading (ETL) data is crucial for gaining valuable insights. While many ETL tools exist, dbt (data build tool) is emerging as a game-changer.

Data-driven 306

Data-driven Data Transformation Management Analytics 306

Smart Data Collective

AUGUST 20, 2021

As we said in the past, big data and machine learning technology can be invaluable in the realm of software development. Machine learning technology has become a lot more important in the app development profession. Machine learning can be surprisingly useful when it comes to monetizing apps.

Machine Learning 90

Machine Learning Data mining Advertising Deep Learning 90

O'Reilly on Data

FEBRUARY 18, 2020

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Data-driven 363

Data-driven Software Statistics Marketing 363

Analytics Vidhya

APRIL 17, 2023

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat.

Data Science 317

Data Science People Analytics Data-driven Analytics 317

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

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. D, as in size of “Data” More data normally increases accuracy, but the marginal contribution decreases quite quickly, (i.e.,

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? Well, it soon became clear that the real problem was the reverse: how can we have our business move at the speed of our data?

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

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. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. Carnegie Mellon University. Massachusetts Institute of Technology (MIT).

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

Business Over Broadway

MARCH 2, 2021

Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The next most used computing platform is a cloud computing platform and a deep learning workstation. Size of Datasets.

Data Science 93

Data Science Deep Learning Machine Learning Data-driven 93

O'Reilly on Data

JUNE 7, 2022

That’s an allusion to the debate ( sometimes on Twitter ) between LeCun and Gary Marcus, who has argued many times that combining deep learning with symbolic reasoning is the only way for AI to progress. (In What additional data would a large language model need to avoid making these mistakes?

Modeling 364

Modeling Interactive Optimization Deep Learning 364

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Technology can help.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

Smart Data Collective

JANUARY 14, 2022

Computer systems capable of learning, reasoning, and acting are still in the early stages. Machine learning needs massive amounts of data. While deployment is streamlined for businesses, providing AI with access to data and granting it any amount of autonomy raises significant concerns. Automated Attacks.

Machine Learning 145

Machine Learning Deep Learning Strategy Data-driven 145

Smart Data Collective

DECEMBER 9, 2021

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A number of new trends in big data are affecting the direction of the accounting sector. AI and Machine Learning.

Technology 133

Technology Big Data Machine Learning Deep Learning 133

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

AUGUST 13, 2024

Unlike siloed or shallow automation efforts, deep automation architects a perspective that integrates customer experiences, value streams, human-machine collaboration, and synergistic technologies to create intelligent, self-adjusting businesses. It emphasizes end-to-end integration, intelligent design, and continuous learning.

Data-driven 130

Data-driven Metrics Optimization Deep Learning 130

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists.

Statistics 84

Statistics Machine Learning Deep Learning Sales 84