Cloudera

DECEMBER 14, 2021

Then, the company used Cloudera’s Data Platform as a foundation to build its own Network Real-time Analytics Platform (NRAP) and created the proper infrastructure to collect and analyze large-scale big data in real-time. . For this, the RTA transformed its data ingestion and management processes. .

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

CIO Business Intelligence

APRIL 26, 2022

Can your team continuously compare a billion data points to answer these questions? Big data analytics can hone your focus on relevant threat intelligence. To make threat intelligence relevant and actionable, you need a big data solution. Not likely.

IT 95

IT Big Data Risk Enterprise 95

IBM Big Data Hub

APRIL 11, 2023

since 2010, on track towards our goal of 65% operational GHG emissions reduction by 2025 versus 2010. Since 2010, IBM has required first-tier suppliers to establish their own environmental management systems, as well as set quantifiable goals in the areas of energy management, GHG emissions reduction, and waste management.

Snapshot 62

Snapshot Reporting Business Objectives Software 62

Smart Data Collective

DECEMBER 18, 2020

A few years ago, we talked about the benefits of using AI and big data in disaster relief. Among the 115 costly catastrophes since 2010 were so-called “ 1,000-year floods ,” Category 5 hurricanes, and the most massive wildfires in history. Worsening Disasters Highlight the Need for New Assistive AI Solutions.

Cost-Benefit 89

Cost-Benefit Unstructured Data Big Data Risk 89

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The insights extracted from data are presented to a human in a friendly form, or a computer program uses it to make decisions without any hardcoded instructions.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

IBM Big Data Hub

NOVEMBER 15, 2019

They were born after 2010 into a world where technology is ubiquitous.We A new generation is among us. are witnessing the birth of a new intelligent species.While all under 10 years old, Siri, Watson and Alexa have already made an impact on the world and we can imagine the potential they all have.

Technology 76

Technology 76

Smart Data Collective

OCTOBER 21, 2021

Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever.

Testing 120

Testing Big Data Risk Management Risk 120

Cloudera

AUGUST 17, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 93

IoT Internet of Things B2B Data-driven 93

IBM Big Data Hub

NOVEMBER 27, 2018

But the company’s focus on design dimmed until Phil Gilbert stepped up to the plate in 2010 and instilled design thinking throughout the company, empowering a legion of designers. IBM is well-known for its powerful legacy of design throughout the 1980s.

Analytics 73

Analytics IT 73

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 66

IoT Internet of Things B2B Data-driven 66

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

BizAcuity

FEBRUARY 15, 2019

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Sales Analytics began to emerge as the scientific approach to selling in 2010 with sales becoming less about certain methodology or personality and more of a number game.

Sales 67

Sales Analytics B2B ROI 67

Jim Harris

JULY 13, 2015

While a lot had changed since 2000, even as late at 2010, I concluded that most everyone was apathetic about data. The New Heroes of Big Data and Analytics” ); re-read hundreds of stories appearing in the popular press (e.g., “The The Data D. The Data D. A few, mostly in the data space.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

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

Sisense

JUNE 9, 2021

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Enterprise Repository Era” (1990–2010) – first generation DG solutions.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. Often this is done through innovative dashboard software , visualizing once complicated tables and graphs in such ways that more people can initiate good data driven business decisions. We read about it everywhere.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Peter James Thomas

JUNE 20, 2019

Here we come back to the upward trend in searches for Data Science. It could be argued of course that this is yet another business fad (indeed some are speaking about Big Data in just those terms already [7] ), but I believe that there is more substance to the area than this. – CIO.com 2010. “61%

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Edwin Chen

SEPTEMBER 29, 2011

Big Data 0.41. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Sachin Tendulkar 0.443. Hacker News 0.442. Games 0.429. Android Applications 0.428. Best Engineers and Programmers 0.427. College Admissions & Getting Into College 0.422. Co-Founders 0.419. System Administration 0.4. NoSQL 0.387.

Finance 81

Finance Interactive Machine Learning Advertising 81

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure.

Metrics 141

Metrics Reporting Analytics Marketing 141

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 245

Machine Learning Modeling Testing Cost-Benefit 245

Occam's Razor

AUGUST 28, 2017

Some of you’ve heard the “hype” before and are deeply skeptical (AI went through a two decade long tundra where it failed to live up to every promise, until say 2010 or so). Surely some of you think, to put it politely, that I’m a little bit out there. I assure you, skepticism is warranted.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. References [1] Efron, B. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. The big rise in digital consumption vs. 2010 is much more obvious now. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.).

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. 2005): 301-320. [9] 9] Steven L.

Modeling 40

Modeling Statistics Advertising Testing 40

The Unofficial Google Data Science Blog

JULY 22, 2020

A/B testing isn’t simple just because data is big — the law of large numbers doesn’t take care of everything! Even with big data, A/B tests require thinking deeply and critically about whether or not the assumptions made match the data. ACM, 2017. [4] 4] Audibert, Jean-Yves, and Sébastien Bubeck. and Donald B.

Experimentation 95

Experimentation Statistics Testing Strategy 95

IBM Big Data Hub

APRIL 5, 2023

HR digital transformation In 2010, SingHealth needed to consolidate the disparate HR systems across its hospitals, specialty centres and polyclinics. SingHealth again turned to IBM Consulting, along with SAP Asia Pacific Japan, to build a single HR platform.

Digital Transformation 62

Digital Transformation Consulting Finance Insurance 62

O'Reilly on Data

MARCH 20, 2019

Distributed systems and models : For better or worse, we live in the age of big data. Many organizations are now using distributed data processing and machine learning systems. 2010): 121-148. I’d recommend them for further reading, too. Barreno, Marco, et al. The Security of Machine Learning.” Machine Learning 81.2

Modeling 221

Modeling Machine Learning Predictive Modeling Consulting 221

CIO Business Intelligence

DECEMBER 13, 2022

Split the data among multiple machines and create a distributed system. NoSQL (“Not only SQL”) databases were invented to cope with these new requirements of volume (capacity), velocity (throughput), and variety (format) of big data. Cassandra’s scalability was impressive, but its reliability also sets it apart among databases.

Broadcasting 56

Broadcasting IoT Data-driven Software 56

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 77

Big Data ROI Testing Statistics 77

Smart Data Collective

OCTOBER 16, 2022

One report shows that the number of annual data breaches increased around 60% between 2010 and 2021. There are a lot of benefits of using Security Information and Event Management (SIEM) systems to protect data from hackers. A growing number of hackers are becoming very brazen and conducting some truly frightening cyberattacks.

Data Lake 134

Data Lake Behavioral Analytics Big Data Enterprise 134

O'Reilly on Data

JANUARY 25, 2021

It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. It’s tempting to think of Flask and Vue as “new” platforms, but they were released in 2010 and 2014, respectively; they’ve had time to establish themselves.

Machine Learning 363

Machine Learning Software Testing Technology 363