End of Support for Microsoft Windows Server 2003: Why You Should Care & What You Should Do

Nutanix

You are most likely aware that, as of July 14, 2015, Microsoft will no longer support Windows Server 2003. If you have one of the estimated 24 million servers running Windows Server 2003, you should be concerned

20

End of Support for Microsoft Windows Server 2003: Why You Should Care & What You Should Do

Nutanix

You are most likely aware that, as of July 14, 2015, Microsoft will no longer support Windows Server 2003. If you have one of the estimated 24 million servers running Windows Server 2003, you should be concerned

20
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End of Support for Microsoft Windows Server 2003: Why You Should Care & What You Should Do

Nutanix

You are most likely aware that, as of July 14, 2015, Microsoft will no longer support Windows Server 2003. If you have one of the estimated 24 million servers running Windows Server 2003, you should be concerned

20

End of Support for Microsoft Windows Server 2003: Why You Should Care & What You Should Do

Nutanix

You are most likely aware that, as of July 14, 2015, Microsoft will no longer support Windows Server 2003. If you have one of the estimated 24 million servers running Windows Server 2003, you should be concerned

20

End of Support for Microsoft Windows Server 2003: Why You Should Care & What You Should Do

Nutanix

You are most likely aware that, as of July 14, 2015, Microsoft will no longer support Windows Server 2003. If you have one of the estimated 24 million servers running Windows Server 2003, you should be concerned

20

Biden administration eyes cybersecurity funding after hacks

DataFloq

Regional blackouts in 2003 and 2011 drew attention to the vulnerability of the power system and examples from abroad have also drawn concern.

Risk 145

Palantir valued at $20 billion in choppy stock exchange debut

DataFloq

The listing ended years of speculation about when the company, co-founded by billionaire Peter Thiel in 2003, would go public and how much it would be worth. (Reuters) - Palantir Technologies Inc , the U.S.

Palantir goes on Wall Street charm offensive ahead of public listing

DataFloq

Palantir, co-founded in 2003 by billionaire Peter Thiel, is among 2020's most eagerly anticipated public listings, with much conjecture about how much the company is actually worth and whether investors will view it as a lucrative software provider or a less-glamorous consulting business.

5 Private Cloud Myths.Busted!

Nutanix

Since 2003, MythBusters has been a TV staple for curious minds everywhere (and more recently, it has graced memes across the interweb

IT 27

Leveraging New Data Capabilities with the Tableau Connector for Jira

DataFloq

Tableau is an older data software company that was founded in 2003. However, they continue to be one of the pioneers in big data advances. They have developed a number of software applications that can be excellent for uncovering the value of data within a company.

5 Private Cloud Myths.Busted!

Nutanix

Since 2003, MythBusters has been a TV staple for curious minds everywhere (and more recently, it has graced memes across the interweb

IT 20

5 Private Cloud Myths.Busted!

Nutanix

Since 2003, MythBusters has been a TV staple for curious minds everywhere (and more recently, it has graced memes across the interweb

IT 20

How Will You Keep The Lights On (When Everyone Else’s Go Off)?

Sirius Computer Solutions

Nearly 16 years before, on August 14, 2003, three parallel, heavily loaded high-voltage electrical transmission lines in Ohio sagged and touched nearby overgrown tree limbs, causing substantial voltage fluctuations. On July 13, 2019, a faulty cable at a Con Ed substation led to a blackout that plunged 72,000 customers in midtown Manhattan into darkness for nearly six hours.

Move Over Tiger Woods: Big Data Helps Discover The Perfect Golf Swing

Smart Data Collective

In 2003, the PGA created a ball-tracking system called ShotLink. Naturally, as 2003 was already so long ago, the technology for ShotLink has further evolved into something even more advanced. Many years ago, Tiger Woods said “The More I Practice, the luckier I get!”

Marketing as a strategic business partner: mixing theory, research and #data

Jen Stirrup

Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). 2003, “How Advertising Affects Consumers”, Journal of Advertising Research, vol. Marketing is viewed as a key strategic participant in achieving the goals of businesses, both large and small. I thought I’d share how we started to apply marketing theory, practice, and insights from data.

Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

In 2003, a development that triggered the revolution of data happened when CDW partnered with PGA Tour with a ball-tracking system that is more advanced, known as ShotLink.

Top DevOps Trends that Will Matter in 2020 For Your Business

Smart Data Collective

Site Reliability Engineering is an engineering discipline that first came into being in 2003 at Google before the word DevOps was even coined. Have you ever heard of the most effective DevOps e.g. Development Operations practices?

Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. Last week the very first regular commercial drone delivery service commenced. It’s likely you have heard of many such experiments around the world over the last few years, but this was the first service to start running every day, as a real business operation. Ponder for a moment – where in the world did you expect to see that happen?

An Overview of Sales Analytics in Event Industry

BizAcuity

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 Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points.

Sales 58

Reporting Requirements for Consolidated Financial Statements

Jet Global

The company’s bankruptcy in 2001 and resulting congressional hearings in 2002 hastened the creation of a new consolidation framework in the form of FIN 46(R), introduced by the FASB in 2003.

Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

It is also considered to hide power dimensions of diversity, such as male privilege (Zanoni and Jansens, 2003), due to the fact it can be seen as an umbrella concept designed to reduce conflict (Zanoni and Jansens, 2003). The foundation of a free society is equal worth of all its citizens. Everyone is entitled, as a right of citizenship, to be able to meet their basic needs. The right to self-respect and personal autonomy demands the widest possible spread of opportunities.

5 Benefits Of Machine Learning In Enterprise Electrical Systems

Smart Data Collective

It may surprise you to find out that there were 679 widespread, weather-related power outages between 2003 and 2012. Machine learning is creating pivotal change in the energy industry. Towards Data Science wrote about the changes that machine learning is bringing to this field. They pointed out that Bill Gates wrote a letter in 2017 to graduate students across the country, which stated that machine learning is going to be the biggest disruptor in this industry.

IBM and Data Science are Helping Save the World through Call for Code

Business Over Broadway

trillion since 2003. The devastating impact of natural disasters can be measured in human suffering, loss of life and economic impact. It is estimated that 2.5 million people have been directly affected by natural disasters since 2000. Additionally, natural disasters have had an economic impact of $1.3 Even though natural events such as floods, earthquakes or hurricanes are inevitable, I believe that their impact can be mitigated through the application of data and analytics.

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Supply Chain Management: Design, Coordination and Operation, 2003. by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally.

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

What Will Drive Innovation in this Great Reset

Andrew White

This enthusiasm for the topic hearkens back to Erik Brynjolfsson’s popular opine from a paper in 2003 (Computing Productivity: Firm Level Evidence): we see productivity growth all around us; just not in the data. The human tragedy and losses are still yet unknown and growing.

Finding Data Quality

Jim Harris

In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you?

Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). Here is the slide from June 2003…… The first one is perhaps slightly obvious, the second one less obvious but told me about the challenge ahead as I thought of dealing with my own Web Analytics journey. Someone highly salaried : "You know what our problem is? We have too many damn tools!"

Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4] by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But doing this can be hard, for reasons not typically encountered in problems with smaller or less critical regression systems.

KDD 40

The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

Jaynes, Cambridge University Press, 2003. Three reasons why confidence intervals should not be used in financial data analyses.

Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

The plots are from the American Time Use Survey , a multi-year study from 2003 to 2015 conducted by the US Bureau of Labor Statistics. I believe deeply in the value of making data accessible. In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). There is something magical about taking the tons and tons of complexity that lurks in our data, being able to find the core essence, and then illustrate that simply.