O'Reilly on Data

FEBRUARY 25, 2025

This meant that at the start of my project I had to instruct Claude to generate mock-up frontend code using those older libraries; otherwise by default it would use modern JavaScript frameworks like React or Svelte that would not integrate well with Python Tutor, which is written using 2010-era jQuery and friends.

Cost-Benefit 198

Cost-Benefit Data Processing Visualization Testing 198

CIO Business Intelligence

APRIL 15, 2025

Data gravity is a term coined by Dave McCrory in 2010 to describe the tendency of large datasets to attract applications, services and even more data, making them increasingly difficult and costly to move. Just as celestial bodies exert gravitational pull, keeping objects in orbit around them, data exerts a similar force in cloud computing.

Strategy 109

Strategy Data-driven Manufacturing Risk 109

CIO Business Intelligence

APRIL 2, 2025

In 2010, SAP introduced the HANA database. Instead of the SAP GUI optimized for transaction processing, the role-based SAP Fiori was introduced. This enables companies to connect processes and experience-based data and drive optimization and innovation.

Recreation/Entertainment 112

Recreation/Entertainment Manufacturing Enterprise Modeling 112

CIO Business Intelligence

FEBRUARY 18, 2025

As renowned technologist and entrepreneur Dave McCrory suggested back in 2010 , data has gravity and where it lands in the business makes it a default source of attraction with assumed quality for that business irrespective of its actual accuracy.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. People familiar with optimization algorithms will recognize this as a twist on simulated annealing: start with random parameters and attributes, and narrow that scope over time.) Those algorithms packaged with scikit-learn?

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

CIO Business Intelligence

SEPTEMBER 11, 2024

Uber drivers and couriers complete more than 30 million trips per day, and its computing infrastructure must be capable of a massive number of route optimization and other predictions each second. Every second, 15 million AI models get executed,” Zargahi says. Everything that Uber actually does is included in that number.”

Cost-Benefit 122

Cost-Benefit Marketing Optimization Strategy 122

CIO Business Intelligence

JANUARY 3, 2023

The new platform furthers the sustainability journey the NHL started in 2010 when it inaugurated its NHL Green initiative to promote sustainable business practices across the league. Sustainability is all about innovation and business optimization. Sustainability is all about continuous business improvement.

Metrics 144

Metrics Measurement Recreation/Entertainment Data Collection 144

CIO Business Intelligence

JUNE 4, 2024

Vince Kellen, then senior vice provost and CIO at University of Kentucky and now CIO for the University of California, San Diego, summarized the IT strategic planning environment during the decade 2010-2020 as attempting to prevent “over-investment in that which doesn’t work.”

Technology 128

Technology Strategy Interactive Enterprise 128

David Menninger's Analyst Perspectives

MAY 8, 2025

A 2025 chat interaction is exponentially more productive than a 2010 or 2015 chatbot. There are several steps enterprises should take now to prepare for the uncertainty created by diminished human involvement in service delivery, including: Extensively testing and optimizing the user experience stemming directly from automated interactions.

Cost-Benefit 130

Cost-Benefit Key Performance Indicator Interactive Uncertainty 130

Cloudera

DECEMBER 14, 2021

The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision making and/or applications. In 2021, the finalists under this category include the following organizations.

Data Lake 111

Data Lake Machine Learning Big Data Data-driven 111

CIO Business Intelligence

JANUARY 25, 2023

Originally known as Integrated Global Solutions Technologies, AVM Cloud has a long relationship with VMware going back to 2010.

Enterprise 98

Enterprise Manufacturing Optimization Management 98

datapine

APRIL 16, 2019

It enables companies to create new business opportunities, generate more revenue, predict future trends, optimize current operational efforts, and produce actionable insights. Optimism Bias – Making decisions based on the belief that the future will be much better than the past. The proof is in the numbers.

Data-driven 288

Data-driven Dashboards Visualization Cost-Benefit 288

CIO Business Intelligence

SEPTEMBER 26, 2023

Since 2010, IWB has been an independent company owned by the Canton of Basel-Stadt, supplying the region with electricity, heat, drinking water, and telecom and mobility solutions, as well as producing and selling renewable and CO2-neutral energy.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

CIO Business Intelligence

JUNE 12, 2024

UK Power Networks was created following a merger of three licensed electricity distribution networks brought together under one roof in 2010 by EDF Energy Networks, where Webb served as head of enterprise data management.

Digital Transformation 116

Digital Transformation Cost-Benefit Forecasting Metrics 116

Occam's Razor

MAY 14, 2012

When their competitors are ramping down (perhaps due to their inflexibility), Amazon can read the market much better (notice Christmas 2010 as well) and are well placed (thanks to Paid and Organic Search strategies) to grab all these new people who are coming into the market to shop. You have to hand it to the Marketing folks at Amazon.

Measurement 135

Measurement Analytics Advertising Marketing 135

Sisense

APRIL 14, 2020

Despite the popularity of David Fincher’s 2010 movie about the birth of Facebook, social networks are often misunderstood: they’re not “only” about your online social media. Social network analysis can provide useful insights into a company’s operations, help optimize internal processes, and even deal with human resources problems.

Machine Learning 106

Machine Learning Measurement People Analytics Sales 106

Occam's Razor

FEBRUARY 25, 2014

We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. Calibrate data altitude optimally. #4. Lesson 3: Calibrate data altitude optimally. Does it communicate the change optimally? What is the optimal media-mix for our efforts?

Visualization 154

Visualization Key Performance Indicator Dashboards Metrics 154

BizAcuity

FEBRUARY 15, 2019

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. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67

Sales Analytics B2B ROI 67

Cloudera

SEPTEMBER 8, 2020

It is currently at 0.3% (2016-2018) down from 6% in the period from 2010 – 2012, and this is now no longer where they are seeing the future growth and potential. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. . In the US for example, mobile revenue growth has stagnated.

IoT 70

IoT Internet of Things B2B Data-driven 70

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. In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play.

Analytics 98

Analytics Data-driven Internet of Things Predictive Analytics 98

Occam's Razor

FEBRUARY 22, 2010

In May 2010 (!). The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. It will probably be the category that will grow the most because frankly in context others look rather sub optimal. The Optimal Competitive Analysis Process.

Metrics 129

Metrics Advertising Reporting Data Collection 129

CIO Business Intelligence

FEBRUARY 26, 2024

The early 2010’s practice of co-locating talent supercharged collaboration, but also limited organizations’ ability to scale with a workforce based in high-density, cost-prohibitive metros. Communication should instead be optimized to provide the most time value for teams.

Cost-Benefit 98

Cost-Benefit Measurement Strategy Modeling 98

CIO Business Intelligence

AUGUST 14, 2024

Organizations typically start with the most capable model for their workload, then optimize for speed and cost. Whether used as an assistant, advisor, or an agent, she expects gen AI’s optimized access to information to reduce multi-step business processes to real-time systems with far fewer steps.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

Ontotext

JULY 29, 2021

If you’ve used Google, you’ve used the cornucopia of Linked data across the Web, through Google’s Knowledge Graph (Google’s Knowledge Graph is reportedly supported by Freebase – the knowledge acquired by Google in 2010. )

Enterprise 124

Enterprise Metadata Knowledge Discovery Data Integration 124

CIO Business Intelligence

AUGUST 29, 2023

Since 2010, TeraSky has provided end-to-end solutions to enable customers to handle data center modernization and hybrid and multi-cloud implementation. With on-premises systems and private clouds often relying on outdated—or soon-to-be-outdated tools—companies need more agile, future-proof solutions.

Digital Transformation 52

Digital Transformation Optimization Data-driven Management 52

Ontotext

FEBRUARY 23, 2023

RDF engines are good for graph analytics Historically, the Labeled Property Graph (LPG) engines were optimized to deal with graph analytics, while the Resource Description Framework (RDF) engines were designed for data publishing and metadata management. GraphDB was audited to perform 12 operations/second on an AWS r6id.8xlarge

Publishing 52

Publishing Metadata Optimization Testing 52

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? To obtain a relative error of no more than 20%, we need roughly 100 positive labels, and more often than not, we have zero violation videos in the uniform samples for rarer policies. as estimated from the data.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Occam's Razor

FEBRUARY 20, 2012

It will be a great reflection of how well thought out their acquisition strategy is, or how sub-optimal it is. ~ If it stinks that tells me a lot (remember the year of mobile was 2010!). Overpimping of social icons when there has never been a social post (or all posts are sub-optimal). ~ Aw, come on!

IT 147

IT Measurement Marketing Metrics 147

The Unofficial Google Data Science Blog

JULY 11, 2017

If both variances are positive then the optimal estimator of $y_{t+1}$ winds up being "exponential smoothing," where past data are forgotten at an exponential rate determined by the ratio of the two variances. Also notice that while the state in this model is Markov (i.e. Auxiliary mixture sampling with applications to logistic models.

Forecasting 66

Forecasting Statistics Modeling Software 66

DataRobot Blog

AUGUST 23, 2019

We started with the result of every match (and set scores) for ATP and WTA tour matches from 2010 through 2018. in Systems and Industrial Engineering with a focus on optimization and stochastic modeling. Andrew received his Ph.D.

Predictive Modeling 52

Predictive Modeling Marketing Analytics Modeling Data Science 52

Mark Raskino

FEBRUARY 25, 2019

We hear about digital efficiency, digital workplace, and digital optimization. By about 2010 or so – digital meant market facing technology, and “IT” meant back office and the internal efficiency use of technology. Today, everything is “digital”. ERP is now part of a digital platform. Digital equaled customer facing. So far, so good.

IT 49

IT Marketing Technology Interactive 49

Timo Elliott

JANUARY 10, 2022

He also cited the Costco example of using analytics and machine learning to create algorithms to optimize bread production, again using cameras. I’ve been talking about them for a long time. I thought that was a lovely win-win opportunity using technology.

Data Processing 122

Data Processing Machine Learning Manufacturing Technology 122

Ontotext

DECEMBER 30, 2022

We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010. Significant engine optimizations made GraphDB more powerful and more efficient across a wider set of workloads.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010. Significant improvements made GraphDB more powerful and more efficient across a wider set of workloads, with key optimizations.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

CIO Business Intelligence

APRIL 24, 2023

Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. The ability to work with these technologies at an unprecedented scale – both in terms of the size of the model and the amount of training – is a recent and critically important phenomenon.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

The Unofficial Google Data Science Blog

JULY 22, 2020

An efficient bandit algorithm for realtime multivariate optimization." Applied Stochastic Models in Business and Industry 31.1 2015): 37-45. [3] 3] Hill, Daniel N., Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2017. [4] 4] Audibert, Jean-Yves, and Sébastien Bubeck. and Donald B.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

MARCH 31, 2016

They provide an interpretable decomposition of variance, and in prediction problems they can supply predictive posterior distributions that can be used in stochastic optimization when uncertainty estimates are a critical component (e.g. Applied Stochastic Models in Business and Industry, 26 (2010): 639-658. [10] bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40