IBM Big Data Hub

MARCH 8, 2024

As the ecommerce market grows exponentially, six trends projected to heavily impact the global market are artificial intelligence (AI), augmented reality, live commerce, online-to-offline ecommerce, social commerce and voice assistants. The ecommerce market has grown exponentially over the last decade.

Consulting 83

Consulting Marketing Sales Data Processing 83

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Advertising 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. In 2017, the number of seniors over the age of 65 reached a record 1 billion people. Cutting marketing costs. This reduces the costs involved.

Cost-Benefit 83

Cost-Benefit Machine Learning Advertising IoT 83

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)). Dr. Richard L.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Cloudera

JANUARY 29, 2018

And it is this unwavering passion and commitment that has driven the team to strive for the very best for our customers and partners, and milestones that we have collectively attained since 2015. As we herald in a new year and reflect on 2017, I’d like to thank those who have made 2017 an incredible year.

Informatics 40

Informatics Big Data Data-driven Software 40

Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. And the Great BI Bake-Off is a perfect example: Four vendors (selected by their Gartner search popularity) took the stage in a live showdown of data viz expertise. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Modern data warehousing. Grow your business.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

Data Insight

APRIL 15, 2019

By Carmen Vicelich, Data Insight CEO Background: The ‘WannaCry’ Cyber Attack of 2017 This week’s global cyberattack on hundreds of thousands of businesses is yet another reminder of the importance of business data security. But with data comes risk. Smart hackers know the value of data and will continue to go after it.

Risk 40

Risk Insurance Data-driven Big Data 40

Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing 80

Marketing Data Analytics Management Analytics 80

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. 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.

Technology 279

Technology Internet of Things IT IoT 279

datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Occam's Razor

MAY 2, 2017

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. Remember: All data in aggregate is crap, segment or suck. It is that practice that I try to discern when I do job interviews.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

SEPTEMBER 15, 2014

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. The only reason good old digital is beating TV is mobile. Amazing, right? And we see this trend all around the world.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

FEBRUARY 28, 2017

A story where data is the hero, followed by two mind-challenging business-shifting ideas. Throw in Machine Learning and I weep at how many glorious sales, marketing, deep relationships initiatives are impossible because companies have not solved identity. Will this marketer give two hoots about “viewable above-the-fold ads”?

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

APRIL 9, 2019

As in 2017 , I have failed miserably in my original objective of posting this early in January. This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. These are as follows: General Data Articles.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Alation

FEBRUARY 20, 2020

Following an unprecedented summer of accolades that have helped establish Alation as the leader in emerging data catalog category, we are in the midst of a nine-show tour. After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

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

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Years and years of practice with R or "Big Data."

Marketing 136

Marketing Analytics Machine Learning Strategy 136