CIO Business Intelligence

FEBRUARY 14, 2024

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. The same issues were revealed when Microsoft launched Delve, and before that when the FAST integration brought powerful search to SharePoint in 2010.

IT 143

IT Metadata Data-driven Management 143

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 71

IoT Internet of Things B2B Data-driven 71

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

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 Modeling Marketing Analytics 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

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

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 121

Data Processing Manufacturing Machine Learning Technology 121

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 128

Measurement Analytics Advertising Marketing 128

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 Modeling Strategy 98

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

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 246

Machine Learning Testing Modeling Cost-Benefit 246

Occam's Razor

JANUARY 20, 2010

We will cover measuring success of SEO efforts on one web page, how to do search engine optimization for b2b websites, how to rank for highly saturated industries / categories / keywords, and which competitive intelligence tools do I use for search program optimization (and targeting display ads using search data!).

Metrics 90

Metrics B2B Analytics Measurement 90

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

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 Measurement 98

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 105

Machine Learning Measurement People Analytics Sales 105

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

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

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

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 64

Forecasting Statistics Modeling Software 64

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 144

Visualization Key Performance Indicator Dashboards Metrics 144

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service. The core of the EHR system.

Metadata 90

Metadata Informatics Insurance Data Processing 90

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. If you want to go it alone, get a Red Bull and download this handy-dandy 62 slide Cross Devices Optimization presentation. What was surprising, even to me (!), Many reasons.

Metrics 141

Metrics Reporting Analytics Marketing 141

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 Management 124

Occam's Razor

JULY 26, 2010

Maybe Google is really good at Volunteers and not optimal for attracting people who donate. Will take you off on a completely different line of inquiry, all from adding June 2009 to look at June 2010. Measure the above four micro conversions, in addition to the macro conversion of donation, helps give a complete view of success.

Metrics 96

Metrics Measurement Dashboards Reporting 96

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). While I look at the future with optimism (even 150 years out for humans), what I’m most excited about is what Machine Learning and Deep Learning can do for us today.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

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 95

Experimentation Statistics Testing Strategy 95

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 123

Metrics Advertising Reporting Software 123

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 138

IT Measurement Marketing Metrics 138

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

Occam's Razor

JUNE 11, 2014

According to eMarketer in 2010 we spent 3:11 (hrs:min) on digital content consumption and 4:24 on TV in the US. Then we did the next most optimal thing, focused on creating "bold standard" reviews. Create joy-inducing mobile experiences. Forget mobile first, it's a mobile only world!

Marketing 150

Marketing Strategy Sales IT 150

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Aim for this.

Analytics 118

Analytics Consulting Metrics Experimentation 118

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We need to know whether the decision we are optimizing is significant enough to justify the time and experiment resources spent optimizing it. Still, if there are too many hypotheses to test with experiments, we should only be testing those that lead to consequential decisions. Be skeptical, intellectually honest. 2] Palese P, Wang TT.

Experimentation 61

Experimentation Testing Statistics Metrics 61

CIO Business Intelligence

APRIL 12, 2022

It will add it to its Spot by NetApp portfolio, the collection of SaaS tools built around the cloud management and cost optimization company it bought in 2022. Microsoft buys Minit to optimize process automation. NTT Data adds Vectorform to service portfolio. Celonis buys Process Analytics Factory. Apptio buys Targetprocess.

Technology 143

Technology Enterprise Consulting Software 143

Smart Data Collective

OCTOBER 16, 2022

One report shows that the number of annual data breaches increased around 60% between 2010 and 2021. Conventional SIEM cannot match this efficiency and optimal use of AI. A growing number of hackers are becoming very brazen and conducting some truly frightening cyberattacks.

Data Lake 135

Data Lake Behavioral Analytics Big Data Enterprise 135

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 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

JANUARY 25, 2021

Think quality control in a factory; think intelligent search on O’Reilly online learning ; think optimizing data compression ; think tracking progress on a construction site. 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