Rocket-Powered Data Science

AUGUST 1, 2018

We have truly entered the plateau of productivity from data in our organizations, though the analytics-driven culture is still going through growing pains. So, what does data make possible? These articles include: Top Data Trends for 2018 (including AI and Machine Learning, in two parts).

Big Data 105

Big Data Machine Learning Data-driven Data Science 105

CIO Business Intelligence

MARCH 14, 2023

SAP’s acquisition of a majority stake at customer experience (CX) software firm Qualtrics back in 2018 for $8 billion was never a match made in heaven. Qualtrics has room to expand its data usage to support machine learning and contextual analytics use cases, Park said.

Sales 52

Sales Strategy Machine Learning Marketing 52

Smart Data Collective

SEPTEMBER 11, 2020

The number of IoT devices is projected to skyrocket from 10 billion to 64 billion between 2018 and 2025. The collected information helps organizations analyze and predict consumer behavior. With AI, network systems are being developed to perform enhanced analytics and automation. AI has made it even more viable than ever.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

Cloudera

JANUARY 24, 2022

And in 2018, opioids were involved in two-thirds of the deaths attributed to drug overdose. Working with Cloudera, Keck created a data lake that eliminated manual data collection errors and gave visibility organization-wide. Keck Medicine of USC: Tackling opioid addiction. According to the U.S.

Data Lake 64

Data Lake Risk Machine Learning Data Collection 64

TIBCO

MARCH 6, 2018

That’s why leading F1 teams have begun to leverage analytics, both on and off the track. If a driver notices an issue with the car during a race, engineers can use the data collected from the car to pinpoint exactly why and where an issue happened. Teams also use data to assess performance in light of new regulations.

Data-driven 75

Data-driven Data Collection Strategy Analytics 75

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures. This past year, all of that changed.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Cloudera

AUGUST 25, 2021

Thanks to the Bermuda Principles agreement of 1996, a mechanism was in place for sharing human genome data within 24 hours of generation. As different researchers made discoveries about the virus and its effect on humans, they shared their data. Efforts are under way to break the natural tendency of corporations to hoard their data.

Data-driven 86

Data-driven Machine Learning Data Collection Risk 86

Smart Data Collective

NOVEMBER 6, 2019

billion in 2018 and is expected to be worth $66.3 With this kind of growth, data collection and use are essential to the Cannabis industry in many ways. The access to a vast amount of data, allows growers to optimize for environmental changes and variables and can even change the strain of the product,” she writes.

Big Data 48

Big Data Marketing Advertising Testing 48

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. The Future is (Almost) Here.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Cloudera

FEBRUARY 14, 2018

Jim recognized that we, as a fast-growing startup company, need to bring together the critical pieces of our Information Technology: our digital team, front office and back office systems, IT/data center (and cloud!) operations, and our CISO’s team while we invest in and form a stronger data and analytics team.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

CIO Business Intelligence

MAY 17, 2022

Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. The hospital did this by investing more in data collection, Taglieti says. If the data science is telling you that you’re missing comorbidities, does it always have to be a doctor seeing the patients?

Risk 145

Risk Consulting Machine Learning Data Science 145

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. The Future is (Almost) Here.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. In the modern game, analytics is an essential part of a winning formula that has revolutionized football teams and the way they play. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

IBM Big Data Hub

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 7 – Initial query using the historical data (2003 – 2018).

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 99

Metadata Modeling Data Processing Unstructured Data 99

erwin

MARCH 4, 2021

Why should companies care about data governance? erwin’s 2020 State of Data Governance and Automation report found that better decision-making is the primary driver for data governance (62 percent), with analytics secondary (51 percent), and regulatory compliance coming in third (48 percent).

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Cloudera

DECEMBER 21, 2020

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. . Enhancing Online Customer Experience with Data .

Data-driven 88

Data-driven Data Strategy Strategy Cost-Benefit 88

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Data governance on big data, that was starting to happen. You also saw much more strategic use of data science.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting.

Technology 279

Technology Internet of Things IT IoT 279

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Pierre-Yves Oudeyer (2018). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

NOVEMBER 9, 2018

One such malware is Okiru, a Mirai variant which was reported in January 2018 to be targeting ARC-based processors that are embedded in billions of connected devices. Since data fuels the growth of smart cities, it is crucial for governments to invest in data management and data security platforms, advanced analytics, and machine learning.

IoT 56

IoT Machine Learning Internet of Things Data Collection 56

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. One-third use human-in-the-loop.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49