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

IBM Big Data Hub

NOVEMBER 20, 2023

With the rise of generative AI comes an influx of data. When executing an AI strategy, enterprises need to consider their current compute capacity, where data resides—in the cloud, on premises, at the edge—how data is accessed, necessary security controls, and how to use existing technology investments effectively.

Digital Transformation 90

Digital Transformation Insurance Enterprise Data-driven 90

Cloudera

APRIL 4, 2022

Vaccine development became the top priority for the life sciences industry – delivering new vaccines at unprecedented speed and maneuvering large-scale production processes. The Impact of Data and Analytics. Now is the time to reflect and learn from the events of the past two years. Maintain Momentum.

Data Lake 78

Data Lake Digital Transformation Manufacturing Sales 78

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 82

Forecasting Data Warehouse Machine Learning Modeling 82

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity. How can organizations prepare for AGI?

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 132

Machine Learning Data Science Management Enterprise 132

Alation

OCTOBER 7, 2021

Jason McVay is a data scientist at Indigo Ag, an agriculture-tech company headquartered in Massachusetts. He has an education in environmental science and geography, with a Master’s degree in paleoecology. Spatial data isn’t special but thinking spatially – now that’s a skill everyone should learn. The rise of spatial data.

Data Lake 98

Data Lake Visualization Data Science Digital Transformation 98

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

Machine Learning 69

Machine Learning Optimization Unstructured Data Sales 69

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been one of the biggest forces driving change in the financial sector over the past few years. Financial institutions servicing small businesses have been among those most affected by developments in big data. Big Data is the Future of Small Business Lending. We are in the age of data.

Data-driven 93

Data-driven IoT Big Data Internet of Things 93

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Metadata 75

Metadata Risk Experimentation Dashboards 75

Cloudera

NOVEMBER 5, 2021

That’s why I am proud of our collaboration with Cloudera in making A Fresh Squeeze on Data – A picture book about problem-solving with DATA that encourages children worldwide to transform from passive spectators of technology disruption to active participants of positive change in their local communities and the world. .

Visualization 83

Visualization Uncertainty Insurance Machine Learning 83

Andrew White

NOVEMBER 29, 2022

To be fair I have been so motivated in years past to place an online order right away, after reading such pages. As I put the paper down I felt like writing a blog about the death of innovation. It turns out that on Friday (November 18th, 2022), the WSJ sported a related article: To Boost Growth, Rethink Science Funding.

Sales 52

Sales Technology Reporting Marketing 52

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. IBM Global AI Adoption Index 2022.).

Metadata 101

Metadata Risk Risk Management Experimentation 101

Cloudera

SEPTEMBER 10, 2020

At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely. Looking To The Future. Cloudera Is A Machine Learning – Machine”.

Machine Learning 90

Machine Learning Predictive Analytics Analytics Enterprise 90

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. Unless, of course, the rest of their data also resides in the Google Cloud. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

Cloudera

AUGUST 20, 2020

Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. Given the year we’re experiencing, we’re also looking forward to future entries for next year.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

Sisense

MARCH 30, 2021

It will take a lot of work to continue building a more equitable world and to forge the way for the next generation of women in tech; hopefully after hearing from these Sisensers, you’ll understand a bit about how far we’ve come and reaffirm your commitment to helping build a better future. Gift them with non-gendered or science-based toys.

Analytics 91

Analytics Management Reporting Marketing 91

Cloudera

NOVEMBER 24, 2021

For underserved youth, the lack of educational opportunity can seriously hinder their development and future career prospects. Many are deprived of early childhood chances at experiencing the professional world, so a career in science, finance, IT, or marketing is a pipe dream. . Unless someone shows them it’s possible. Pilot Programs.

Finance 73

Finance Marketing Management IT 73

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products?

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Rita Sallam

JUNE 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in London with 3,700 of our closest D&A friends and family. We did two Bake-Offs at the Gartner Data and Analytics Summit in London last week. What Data Did We Use? The answer to the first question is: I knew it!!

Optimization 52

Optimization Insurance Machine Learning Risk 52

Perceptual Edge

DECEMBER 27, 2017

You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests. In this blog, I’ve usually tried to my keep topics at least tangentially related to data sensemaking, but I now find this too confining. Brain science. Take care,

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

Cloudera

SEPTEMBER 17, 2020

Today’s data tool challenges. By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. .

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. It’s difficult not to get excited about this future.

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. Business users gain a complete understanding of the available data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

Jen Stirrup

JUNE 20, 2020

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Sisense

APRIL 10, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. NLP can be used on written text or speech data.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. AI and other data-intensive algorithms are infants. If y ou have good intentions, you can make it very good.

Machine Learning 114

Machine Learning Big Data Consulting Technology 114

Sisense

MARCH 19, 2021

Twenty years ago, no one had heard of a chief data officer. The rise in prominence of data executives goes hand in hand with the rise of the importance of data in the modern business world: Every company must become truly data-driven, and data executives play an outsized role in making that happen.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Sisense

JULY 29, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

bridgei2i

MARCH 9, 2021

How a Partnership with an AI Data Company Can Transform Your Business’s Technological Capacities. A partnership with an advanced AI data company comes with various advantages. The experts working in the Artificial Intelligence field aren’t just experts of advanced programming – they’re also masters of data science.

Technology 52

Technology Unstructured Data Insurance Sales 52