• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

Tag Archives: they

THEY CAN FIND THE GUY WHO BROKE A WINDOW BUT NOT A MURDERER?

January 20, 2021   Humor
blank THEY CAN FIND THE GUY WHO BROKE A WINDOW BUT NOT A MURDERER?

You just know the left is protecting its own in the murder of Ashli Babbitt:

A Kentucky man who is accused of breaking a window of the Capitol building moments before Ashli Babbitt was fatally shot during the insurrection earlier this month has been arrested.

Chad Barrett Jones, 42, of Coxs Creek, Kentucky, was arrested in Louisville on Saturday and charged with assault on a federal officer, destruction of government property, obstruction of justice, unlawful entry on restricted building or grounds, and violent entry and disorderly conduct on Capitol grounds, the FBI said in a news release.

According to an FBI charging affidavit, Jones broke a window near the House Speaker’s Lobby that Babbitt tried to climb through as she was fatally shot.

The affidavit cites video from the Washington Post, alleging that Jones can be seen striking a door to the lobby’s glass panels with what appeared to be a wooden flag pole.

Watch: Man standing next to Ashli Babbitt as she was shot and killed has been arrested

The crowd around the man can be heard shouting “Break it down” and “let’s f—— go!” as he struck the glass, the FBI said.

Seconds after the glass panel was broken, Babbitt, 35, was shot by a police officer as she tried to climb through it to enter the lobby.

Babbitt and four others died in the Capitol riot, which was carried out by supporters of President Donald Trump who stormed the building as Congress debated Electoral College votes from the 2020 election won by President-elect Joe Biden.

FBI Special Agent Javier Gonzalez said in the affidavit that a witness identified Jones through a tip to the FBI National Threat Operation Center.

The witness said Jones was a relative who had told him he traveled to Washington DC and had used a flag pole holding a flag supporting Trump to break the Capitol window.

Another person, who identified himself as a friend of Jones, told the FBI that Jones had called him after seeing himself on the news, and called himself an idiot, according to the affidavit.

Jones is scheduled to appear in court on January 19.

Let’s block ads! (Why?)

ANTZ-IN-PANTZ ……

Read More

AI researchers say they created a better way to generate 3D photos

May 26, 2020   Big Data
 AI researchers say they created a better way to generate 3D photos

A group of AI researchers from Facebook, Virginia Tech, and National Tsing Hua University in Taiwan say they’ve created a novel way to generate 3D photos that’s superior to Facebook 3D Photos and other existing methods. Facebook 3D Photos launched in October 2018 for dual-camera smartphones like the iPhone X, which uses its TrueDepth camera to determine depth in photos. In the new research, the authors use a range of photos taken with an iPhone to demonstrate how their approach gets rid of the blur and discontinuity that other 3D methods introduce.

The method could make for better Facebook 3D Photos some day, but if the method for creating better 3D photos translates to other environments it can lead to more lifelike immersions in environments with 3D digital graphics like virtual games and meetings or applications in ecommerce or a future metaverse.

The new learning-based method can generate 3D photos from RGB-D imagery like photos taken with an iPhone X. It also works with simpler 2D photos by using a pretrained depth estimation model. Authors applied their method to historic images of the 20th century to demonstrate effectiveness on 2D images.

VB Transform 2020 Online – July 15-17. Join leading AI executives: Register for the free livestream.

The work also claims better performance than Nvidia’s Xview, as well as Local Light Field Fusion (LLFF), a model highlighted last year by a consortium of authors at computer graphics conference SIGGRAPH.

Performance of 3D models was assessed using randomly sampled imagery from the RealEstate10K data set. Head-to-head demos of advanced 3D image generation methods are available on a website, and in supplementary material created by authors Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang.

In recent months, Facebook, Microsoft, and Nvidia released tech to generate 3D objects from 2D images, but the new method relies heavily on inpainting. Inpainting is the process of AI predicting missing pixels in a photograph. It’s been used to auto-crop Google Photos videos and to make better unsupervised generative adversarial networks.

The cutting-edge 3D photo approach was detailed in a paper published in preprint arXiv. Motivated in part by the EdgeConnect in 2019 for generative inpainting adversarial models, authors say their work is different in that it applies inpainting for both color and depth value predictions. Another key difference is that the new learning method adapts to local depth complexity and does not require predetermining a fixed number of layers. Both Facebook 3D Photos and the experimental approach introduced in the recent paper rely on layered depth image (LDI) representation for a more adaptive approach.

“Each LDI pixel stores a color and a depth value. Unlike the original LDI work, we explicitly represent the local connectivity of pixels: each pixel stores pointers to either zero or at most one direct neighbor in each of the four cardinal directions (left, right, top, bottom),” the paper reads. “Unlike most previous approaches we do not require predetermining a fixed number of layers. Instead our algorithm adapts by design to the local depth-complexity of the input and generates a varying number of layers across the image. We have validated our approach on a wide variety of photos captured in different situations.”

The paper was accepted for publication at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), which will take place next month. Initially scheduled to take place June 16-18 in Seattle, CVPR will, like other major researcher conferences, move entirely online. According to the AI Index 2019 report, CVPR is one of the largest annual machine learning conferences for AI researchers.

Let’s block ads! (Why?)

Big Data – VentureBeat

Read More

Try gardening, it’ll be fun, they said

May 20, 2020   Humor

Posted by Krisgo

 Try gardening, it’ll be fun, they said

via

Like this:

Like Loading…

About Krisgo

I’m a mom, that has worn many different hats in this life; from scout leader, camp craft teacher, parents group president, colorguard coach, member of the community band, stay-at-home-mom to full time worker, I’ve done it all– almost! I still love learning new things, especially creating and cooking. Most of all I love to laugh! Thanks for visiting – come back soon icon smile Try gardening, it’ll be fun, they said


Let’s block ads! (Why?)

Deep Fried Bits

Read More

Dan Bongino: They Knew the Whole Time!

February 28, 2020   Humor
0 Dan Bongino: They Knew the Whole Time!

The Dan Bongino Show
The Bongino Report

Let’s block ads! (Why?)

ANTZ-IN-PANTZ ……

Read More

TypingDNA raises $7 million for AI that identifies people by how they type

January 5, 2020   Big Data

The risk of online accounts being compromised increases by the day — and it’s costly. A hacker attacks roughly every 39 seconds, and it’s estimated that 65% of companies have over 1,000 stale accounts. Worse still, the average expense of data breaches is expected to hit $ 150 million in 2020.

That’s perhaps why startups like TypingDNA have risen to prominence. TypingDNA — which was founded in Romania in 2016 by Adrian Gheara, Cristian Tamas, and Techstars alum Raul Popa, and which recently moved its headquarters to New York — provides typing biometrics authentication as a service, enabling companies to recognize people by the way they type. After raising $ 1.8 million in capital from the founders of companies such as UiPath and DataDog last year and attracting clients like large banks in Latin America and Romania, it’s gearing up for a major expansion in 2020.

TypingDNA announced this morning that it has raised $ 7 million in series A funding led by Gradient Ventures, Google’s AI-focused venture fund, with participation from Techstars Ventures and EU-based fund GapMinder. According to CEO Popa, the proceeds will fund the build-out of TypingDNA’s developer support network and tools to integrate its services with popular web development tools.

“Advancing the research and distribution of typing biometrics is of global importance. Keyboards are incorporated [into] almost any device today, making typing behavior the most widely available user biometric,” he added. “This round of funding will allow us to further our mission to provide user-friendly, non-intrusive biometrics and increased security to people around the world.”

 TypingDNA raises $7 million for AI that identifies people by how they type

TypingDNA’s platform records dynamic statistics about pressed keyboard keys and turns them into typing patterns, which its proprietary engine analyzes and verifies against patterns collected from real-world users. As Popa explains, the way a person types on a keyboard is unique and fairly difficult to replicate —  in point of fact, it’s behaviorally rich enough to reveal biometric traits like gender and age.

Local clients train models on users’ patterns silently in the background, focusing on 44 commonly used letter and number keys. Stats like individual key presses and flight times are stored for later algorithmic ingestion, but not sequences between two or more keys — that’s to ensure text can’t be recreated.

Popa says most intruders are caught in under 100 typed characters, or on a typical sentence.

TypingDNA offers a number of client-side products, including a PC tool that continuously authenticates users based on their typing patterns. It alerts administrators or automatically locks down the system when it detects anomalous keystrokes, and it optionally signs out accounts, captures screenshots, takes webcam snapshots, and sends alerts (via email or SMS) if it detects anomalous behavior. A complementary Chrome extension serves up two-step verification codes for third-party services like Amazon and Facebook in the browser, and TypingDNA’s API and SDK provide a means of securing logins and enforcing reset passwords on mobile, as well as web apps.

The biometric authentication market is projected to generate $ 65.3 billion by 2024, and TypingDNA is far from the only player in the lucrative space. Pindrop, a firm developing biometric voice authentication solutions, raked in $ 90 million in funding in December 2018. Global identity verification provider Onfido nabbed $ 50 million in April. And Buguroo, which taps deep learning and behavioral biometrics to detect banking fraud, recently secured $ 11 million.

But Gradient Ventures general partner Darian Shirazi isn’t concerned. “We’re excited about TypingDNA’s developer-first approach to [enabling] people to authenticate securely based on how they type,” he said. “With global regulation impacting face-recognition-based authentication and hackers targeting SMS-based two-factor authentication, typing biometrics is the best form of identifying people without compromising privacy or security.”

Sign up for Funding Weekly to start your week with VB’s top funding stories.

Let’s block ads! (Why?)

Big Data – VentureBeat

Read More

Stop Payroll Pains Before They Start

December 12, 2019   NetSuite
headacheGettyImages 522280577 Stop Payroll Pains Before They Start

Stop Payroll Pains Before They Start

Posted by Marc Holliday, Senior Product Marketing Manager

Most entrepreneurs and startups share a common vision: focus on growth. As they get their businesses off the ground, secure funding and begin to hire their first employees, most turn to simple accounting and payroll solutions like QuickBooks. It provides a low-cost solution that will handle the basics of bookkeeping, pay a small workforce and send summary level payroll information back to the general ledger to account for compensation and benefit expenses.

Rapid growth starts to push entry level payroll software to its limits and could be the first area where businesses feel pain.

To make sure payroll won’t slow growth down, look for these early warning signs:

  • A lot of hiring occurs rapidly, creating new complexities in terms of payroll size, frequency and accuracy.
  • Leaders and managers start to request more details about payroll costs from your general ledger for planning purposes.
  • Timesheets are needed, but your vendor wants an additional fee for that functionality.
  • You need to move to a different edition of QuickBooks payroll and pay more to get features like user-based security to help protect sensitive payroll information.
  • The list of payroll related vendors such as insurance carriers and benefit providers begins to grow, and you can’t automate payments through accounts payable.
  • You need to run an off-cycle payroll batch, and your payroll provider wants to charge you an additional fee.
  • Troubleshooting and fixing payroll issues takes more than an hour.
  • Employee information is being entered into more than one software application.
  • You have a growing need for an HR solution that is integrated with payroll to track time off balances, fixed assets, effective dates on employee records and provide compliance reporting.
  • You missed a payroll tax filing because you weren’t notified, or it wasn’t accurate.
  • Employee complaints are increasing because they either can’t find their payroll and HR information themselves or they have to log into multiple applications.

Time for a Change
 

Growing companies need payroll software that is flexible in its support of organizational structures and therefore helps companies understand payroll expenses in more depth, including payroll by department or by location, which can help improve planning.

Software with built-in role-based security and timesheets included means businesses won’t have to upgrade to another edition to protect and better control labor information. Intuitive, payroll process, including payroll variance views and reports can help prevent payroll pain before it occurs for the ultimate in accuracy control. And when the time comes to address your HR data, growing businesses need a unified system that can put all of their workforce information in a single place, fully unified with payroll and financials.  

NetSuite offers unified accounting and payroll that businesses simply won’t outgrow. Natively part of NetSuite, SuitePeople U.S. Payroll allows you to run weekly, bi-weekly, semi-monthly and monthly payrolls all in the same batch and won’t charge an extra fee for an off-cycle payroll.

Learn more about NetSuite SuitePeople Payroll:

Posted on Wed, December 11, 2019
by NetSuite filed under

Let’s block ads! (Why?)

The NetSuite Blog

Read More

HOW THE HELL’D THEY GET CLOSE ENOUGH?

December 4, 2019   Humor

Pranksters spray paint polar bear with “T-34.”

Animal activists outraged.

Cruel animal abusers daubed T-34 – the name of an iconic Soviet tank – on a wild polar bear.

The predator, pictured here, was seen in the Russian Arctic after a video was made by workers in a truck who name the wild animal Misha.

The footage was uploaded in the remote Chukotka region but it is not known where the film was shot, or who daubed a large T-34 in black markings on the bear’s right side.

At first the workers struggle to see the the markings on the beast and one says: ‘Why is it so dirty?’

Then they think it is ‘spotty’.

Only when the animal is closer do they see it is sprayed with the name of a tank.

One theory is that soldiers from a remote military base may have painted the dangerous animal, but it is not clear how they subdued or sedated it in order to mark it.

Anatoly Kochnev, senior researcher at Mammal Ecology laboratory at the Institute of Biological Problems of the North, warned that the bear could suffer from the graffiti, reported The Siberian Times.

‘Scientists could not do this,’ he said.

‘It could have been somebody who ‘joked’ like this.’

The black writing will mean problems for the bear when it hunts prey, he said.

It would also be more visible to poachers.

The video has gone viral in Russia and scientists are seeking to find out where it was filmed.

Let’s block ads! (Why?)

ANTZ-IN-PANTZ ……

Read More

Tech Companies Are Leaving Bay Area In Droves – Where Are They Going?

November 17, 2019   BI News and Info
 Tech Companies Are Leaving Bay Area In Droves – Where Are They Going?

While Silicon Valley will certainly remain the tech/startup capital of the world for decades to come, it’s lost a bit of its luster and charm in the past couple of years. Many tech companies are on the way out, opting to move east.

Adios, Silicon Valley!

Silicon Valley isn’t what it used to be a decade and a half ago. Companies like Google and Apple, as well as hundreds of smaller tech ventures and startups, are choosing to move portions (or even all) of their operations east. They’re doing so for a variety of reasons, including:

  • Taxes. The corporate tax rate in California is 8.84% (for a cumulative total of 39.4%). Many other states have corporate tax rates in the four to six percent range. Business owners and executives are realizing they can save millions of dollars per year in taxes simply by moving a few hundred miles to the east.
  • High cost of living. On top of hefty taxes, California – and Silicon Valley in particular – has some of the highest costs of living in the entire country. Everything from housing to food is very expensive. Moving out of the area is like getting an instant pay raise.
  • Lack of diversity. Silicon Valley loves to pride itself on diversity, but many say it’s nothing more than a façade. While tech companies in the Valley hire lots of people who look diverse – i.e., different races, ethnicities, and genders – some employees claim they don’t appreciate diversity of thought (unless it aligns with their beliefs). Many business owners say they would prefer to escape to environments where free thought (of all kinds) is embraced.

There are plenty of other reasons for the split from Silicon Valley, but these three factors paint a picture of why entrepreneurs are leaving in droves.

4 popular destinations for tech companies

The question is: Where are all these entrepreneurs and their tech companies going? Some of the destinations are a bit surprising. Let’s take a look:

1. Salt Lake City, Utah

According to data from Cushman & Wakefield, a Chicago-based real estate services company, Salt Lake City has seen the second-most tech-related commercial leases in the country over the past year. It now claims the ninth-largest share of tech tenants in the nation. Tech companies accounted for more than 66% of all major commercial leases signed in 2018 (which is more than San Francisco).

The Salt Lake City area is also renowned for its lower than average cost of living (when compared to surrounding states). This is something local real estate developers regularly hear transplants comment on.

“Just in our master-planned community alone, we’ve already seen a number of families who are moving into the Salt Lake City area to enjoy a lower cost of living,” explains Wildflower, an active family community located south of the city. “When you combine that with strong job growth and beautiful surroundings, it’s a trend we anticipate continuing indefinitely.”

2. Austin, Texas

With companies like Apple, IBM, eBay, and Intel having major presences in the area, Austin has been dubbed “Silicon Hills.” It’s been a major player in the tech startup scene since the 1980s, and the low taxes, affordable cost of living, and pro-business environment have made it even more attractive in recent years.

3. Huntsville, Alabama

Huntsville is one of the best-kept gems of the South. Located in the northern portion of the state – just a short drive south of Nashville – Huntsville is home to a thriving engineering scene. It also has major government support, with Boeing, Northrop Grumman, and NASA all relying heavily on the city. With an extremely low cost of living, it’s the perfect place to start a business and raise a family.

4. Raleigh-Durham, North Carolina

Don’t look now, but the Raleigh-Durham and Charlotte areas are huge landing spots for large tech companies and small ventures alike. With so many medical research universities nearby, it’s a particularly compelling destination for entrepreneurs that are focused on the convergence of technology and healthcare.

The future of technological entrepreneurship

Nobody is suggesting that Silicon Valley will cease to be the tech capital of the world. However, it’s losing some of its shine. As tech companies become less geographically attached to the area, we’ll see more innovation in more places. And, at the very least, this is good for the larger society.

SAP Integration is key to SAP Intelligent Enterprise. Learn about the key ingredient of this concept – SAP APIs – on December 4th.

Let’s block ads! (Why?)

Digitalist Magazine

Read More

Sharp Shares Why They Chose Act-On as Their Marketing Automation Platform

October 10, 2019   CRM News and Info
Sharp Logo Sharp Shares Why They Chose Act On as Their Marketing Automation Platform

Louise also gathered input from the project team and the marketing community as a whole to determine what the ideal marketing automation platform would look like for Sharp’s team. The vast amount of input she received helped her create a thorough RFP document that listed key features and capabilities her team needed to be successful. 

“That RFP we created for vendors to respond to listed all our requirements (which were split out by category) and indicated whether these features were considered essential or nice to have. So, we had questions that were specific to functionality such as, What’s the landing page builder like? What are your email marketing capabilities? We also asked questions regarding the vendor and their software like, What’s your customer support like? How reliable is the platform? 

Because we have so many business units and offices using different CRMs, there also turned out to be quite a complex need for our new platform to have a parent-child structure and be able to support multiple integrations.”

Louise and her team first evaluated their incumbent vendors and two new ones, asking each team to submit a written response to their questions, present a platform demo, and provide a quote. However, none of the platforms they evaluated quite matched their needs.

“We scored each of these vendors based on how closely they met the different categories and requirements. At that point, there was only one vendor that could genuinely meet the requirements with a high enough score and competitive pricing, but it wasn’t a platform that anyone on the project team really loved.”

Demonstrating that you should never settle when it comes to choosing the right marketing automation platform, Sharp went back to the drawing board in hopes of finding the perfect solution. 

Louise and her team reached out to Act-On and another vendor during their second evaluation round. After conducting the same detailed evaluation process, Louise and her team found that Act-On had many of the features Sharp was looking for — including the “parent/child” Marketing Network structure that would enable the company to centralize its marketing efforts.  

“We went through a very thorough evaluation process and I would say that, for a number of different factors, Act-On just ended up being the best fit for our organization. A key thing for us was that the platform we picked had to have an interface that was very easy to use and intuitive. 

Unlike other companies that might have a centralized team of specialists who are always in the system, we weren’t going to have a big team of people to manage our marketing automation platform. Therefore, the solution we picked had to be intuitive enough so that a marketing generalist could use it easily without knowing things like how to code HTML. 

We also have a very complex organization structure where we need to do certain things on the central level and other things on the local level. So, Act-On’s marketing network feature ended up being a really important factor in our selection process because it allows us to set up an account hierarchy and easily share assets between business units. Equally as important was that this platform had to connect to multiple CRMs, such as Salesforce, used by our various business units, which Act-On did.”

Let’s block ads! (Why?)

Act-On Blog

Read More

AI classifies people’s emotions from the way they walk

July 1, 2019   Big Data

The way you walk says a lot about how you’re feeling at any given moment. When you’re downtrodden or depressed, for example, you’re more likely to slump your shoulders than when you’re contented or upset. Leveraging this somatic lexicon, researchers at the University of Chapel Hill and the University of Maryland recently investigated a machine learning method that can identify a person’s perceived emotion, valence (e.g., negative or positive), and arousal (calm or energetic) from their gait alone. The researchers claim this approach — which they believe is the first of its kind — achieved 80.07% percent accuracy in preliminary experiments.

“Emotions play a large role in our lives, defining our experiences and shaping how we view the world and interact with other humans,” wrote the coauthors. “Because of the importance of perceived emotion in everyday life, automatic emotion recognition is a critical problem in many fields, such as games and entertainment, security and law enforcement, shopping, human-computer interaction, and human-robot interaction.”

The researchers selected four emotions — happy, sad, angry, and neutral — for their tendency to “last an extended period” and their “abundance” in walking activity. Then they extracted gaits from multiple walking video corpora to identify affective features and extracted poses using a 3D pose estimation technique. Finally, they tapped a long short-term memory (LSTM) model — capable of learning long-term dependencies — to obtain features from pose sequences, which they combined with a random forest classifier (which outputs the mean prediction of several individual decision trees) to classify examples into the aforementioned four emotion categories.

 AI classifies people’s emotions from the way they walk

Above: This AI system classifies people’s emotions from the way they walk.

The features included things like shoulder posture, the distance between consecutive steps, and the area between the hands and neck. Head tilt angle was used to distinguish between happy and sad emotions, while more compact postures and “body expansion” identified positive and negative emotions, respectively. As for arousal, which the scientists note tends to correspond to increased movements, the model considered the magnitude of velocity, acceleration, and “movement jerks” of hands, feet, and head joints.

The AI system processed samples from Emotion Walk, or EWalk, a novel data set containing 1,384 gaits extracted from videos of 24 subjects walking around a university campus, both indoors and outdoors. Roughly 700 participants from Amazon Mechanical Turk labeled emotions, and the researchers used these labels to determine valence and arousal level.

In tests, the team reports that their emotion detection approach offered a 13.85% improvement over state-of-the-art algorithms and a 24.60% improvement over “vanilla” LSTMs that don’t consider affective features. That isn’t to say it’s foolproof — its accuracy is largely dependent on the precision of the 3D human pose estimation and gait extraction. But despite these limitations, the team believes their method will provide a strong foundation for studies involving additional activities and other emotion identification algorithms.

“Our approach is also the first approach to provide a real-time pipeline for emotion identification from walking videos by leveraging state-of-the-art 3D human pose estimation,” wrote the coauthors. “As part of future work, we would like to collect more data sets and address [limitations].”

Let’s block ads! (Why?)

Big Data – VentureBeat

Read More
« Older posts
  • Recent Posts

    • P3 Jobs: Time to Come Home?
    • NOW, THIS IS WHAT I CALL AVANTE-GARDE!
    • Why the open banking movement is gaining momentum (VB Live)
    • OUR MAGNIFICENT UNIVERSE
    • What to Avoid When Creating an Intranet
  • Categories

  • Archives

    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited