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Reinventing Construction Industry with Big Data Analytics

30/11/2018

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The capture of key real-time data points from field crews results in positive and lucrative outcomes on construction projects. Incorporating important effective construction management tools with easily accessed real-time predictive data is a game-changing solution to the longstanding ills plaguing the construction industry. 
Construction stakeholders are concerned about inadequate cost controls and poor construction management on projects.” This reads like a complaint anyone today would make, given the innumerable construction projects with $50 million, $100 million or $1 billion cost overruns. Is it shocking that this sentiment was not expressed by a 21st century construction engineer, owner or superintendent? Instead, as cited in Philip Bruner’s William Mitchell Law Review article, “The Historical Emergence of Construction Law,” the complaint was made in the age of Vitruvius, chief engineer of Julius Caesar and Emperor Augustus in 24 BC.
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Big data and advanced artificial intelligence techniques to tackle Alzheimer's disease

13/11/2018

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Sports concussions, Parkinson's disease, and hormone therapy for cancer - all can have memory loss as symptoms. But do the biochemical processes of each type of memory loss have anything to reveal about the memory loss that is part of Alzheimer's disease?

Rong Xu, PhD, recently received a total of $5 million for two projects that will use big data methods for a comprehensive look at a range of factors that may inform the mechanism of Alzheimer's and related dementia. "Vast amounts of data from seemingly unrelated sources present opportunities to researchers who aim to extract information that would help develop drugs or treatments," Says Xu, "This is especially true for diseases and conditions that may involve multiple genetic variations and that also have social or environmental influences."
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Focus on Business Processes, Not Big Data Technology

2/11/2018

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​The rapid evolution of analytics has put a wonderful array of cutting-edge technologies at fingertips, from Spark and Kafka to TensorFlow and Scikit-Learn. And yet, despite this technological treasure trove, the vast majority of big data projects fail, according to analyst firms. So what gives? It’s likely a combination of factors, but one that stands out is that we spend too much time focusing on technology and not enough on business process, industry experts say.
​
Gartner analyst Nick Heudecker turned some heads last year when he said 85% of big data projects were failures, citing poor integration with existing business process, as well as internal policies, executive buy-in, lack of skills, and the ever-present security-governance issue. Other tallies of big data, data science, and advanced analytics projects have turned up similar statistics about the rather narrow odds of success in big data.

The fact is, losing at big data is a lot more common than wining. The human skillsets required to stitch together complex, largely open-source technologies into something that’s enterprise-grade and contributes value to the business are not easy to find. 
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TOP 7 BIG DATA ANALYTICS TRENDS FOR 2019

30/10/2018

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The amount of data generated today from all industry domains, also known as big data is huge, encompassing data gathering, data analysis, and data implementation process. Over the years, big data analytics trends are changing, from a departmental approach to business-driven data approach, embracing agile technologies and an increased focus on advanced analytics. Business enterprises need to implement the right data-driven big data analytics trends to stay ahead in the competition.
Previously, big data was primarily deployed by big businesses, who could afford the technology and channels used to collect and analyze the information. Today the scope of big data is changed leading to business enterprises large and small rely on big data for intelligent business insights. This has led to big data evolving at an unbelievably fast pace. The best example of the growth is big data in the cloud which has led to even small businesses taking advantage of the latest technology trends.
The never-ending stream of information is valuable to the business, but it can also be a challenge to draw actionable insights from a large data pool of data which may be unstructured. Even with these roadblocks, there’s no denying the fact that big data offers business tremendous opportunities for growth. Here are the “Top 7 Big Data Analytics Trends” that will be the talk of the technology world in 2019 and beyond.
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NFL in London: How big data is helping to change the game when it comes to player performance

23/10/2018

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Behind the excitement and razzmatazz of the NFL London Games in Wembley Stadium lies a new technical reality -- connectivity and data is helping to bring a higher level of understanding to coaches and fans about how players are performing.

ZDNet went behind the scenes at the recent Seattle Seahawks versus Oakland Raiders matchup in London to see how Zebra Technologies is tracking and tracing player movements. Zebra has embedded RFID tags in players' shoulder pads to analyse movement, providing metrics such as player speed, distance travelled, acceleration, and deceleration.

"It's one thing being able to measure a 40-yard dash by a player with a stopwatch -- that's pretty simple to do," says John Bacon, director of operations for NFL's Next Gen Stats at Zebra Technologies. "But if you need to do that for 22 people simultaneously, well that would take an army at best -- even if you could do that. The technology provides the capability to track the position of every player at all times within inches."
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6 REAL TIME APPLICATIONS OF ARTIFICIAL INTELLIGENCE

18/10/2018

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Can you predict how artificial intelligence will change the future? With increasing human dependency on smart machines, the day is not far when these machines will outnumber humans. AI is driving us to a future where humans will be dependent on technology for every task. According to research, by 2020, at least 30% of all companies will use AI for the purpose of marketing their business.

The rise of technology is indeed a debatable topic. Some say that it is a blessing while some say that it is nothing less than a disaster. As far as businesses are concerned, the growth of AI in marketing cannot be overlooked.

No doubt that AI is easing out our lives, but at the same time it is increasing our dependency on these machines. This is why scientists are a bit confused about the future scope of artificial intelligence. You might have even heard about Tesla’s driverless cars that are completely driven by technology. Like any other technology, there are pros and cons of artificial intelligence too.
If you use the Internet regularly, you’re probably using real-time applications of artificial intelligence without realizing it.

Here are the applications of artificial intelligence in the real world:

eCommerce
Have you wondered how these online shopping portals get to know your preferences? How do they end up showing you products that are aligned with your sense of style or what you have been looking for?

To understand their customers better and know their preferences, AI is being used by eCommerce giants like Amazon. They get to know about your preferences and give a personalized shopping experience to a user. 
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How Business Owners Can Leverage Big Data

16/10/2018

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The key to Big Data is experimentation and testing - that and having the confidence to have a go!
Big Data refers to the capture and analysis of large bodies of data generated by powerful new technologies. Its analyses provide us with key business insights so that we can better determine patterns, predict future outcomes and make more responsible decisions for our businesses.
In many organizations, the use of Big Data started in the HR sphere because companies needed to better understand employee recruitment, performance and mobility. Now, though, business owners are clamoring for Big Data implementations in every part of business operations and are seeking new ways to embed analytics into everything we do.
Within the next 10 years, the following examples will be mainstream uses of Big Data in the business world:
  • Reducing unconscious bias during the hiring process by calling out problematic job posting language.
  • Predicting the likelihood of employee success by capturing certain traits on video.
  • Delegating assignments based on individual productivity data gleaned from wearables.
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How can TV ride the big data wave?

12/10/2018

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Despite the frequent headlines about declining ratings and measurable drops in adpsend, TV continues to be one of the most compelling media for consumers. And with advertisers shining a light on the murky ad tech supply chain and wanting more transparency and better trust, the future for TV looks brighter. And then there’s a strong push for data driven insights & TV audience targeting that goes beyond simple age and gender demographics, or even just time spent in watching a show on a mobile device vs a bigger screen. So how is TV riding this data wave?
The Drum, in association with TiVo, led a panel to help answer this question. TiVo senior vice president of advanced media advertising, Walt Hortsman said we need to start with what we know: “Television is still the most effective medium in changing consumer behavior.”
Hortsman qualified TV as “premium video that is delivered by any mechanism,” but the industry as a whole lacks a shared definition of when to attribute a consumer’s action to an exposure. Working with consumer purchase data to understand and identify those industry benchmarks can help shape a clearer vision of the future of TV, he said.
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15 Business Applications For Artificial Intelligence And Machine Learning

9/10/2018

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Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier.
Through AI and ML, your business will benefit as it becomes more efficient at its operations and eliminates those mundane tasks that seem to be slowing you down. Additionally, AI-powered tools and automated systems can help your company improve the use of its resources, with visible effects on your bottom line.
Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for AI/ML at their companies. Here’s what they had to say:

1. Powering Infrastructure, Solutions and Services
We’re leveraging AI/ML in our collaboration solutions, security, services and network infrastructure. For example, we recently acquired an AI platform to build conversational interfaces to power the next generation of chat and voice assistants. We're also adding AI/ML to new IT services and security, as well as hyper-converged infrastructure to balance the workloads of computing systems. - Maciej Kranz, Cisco Systems
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Cloudera, Hortonworks Merge Their Big Data Efforts

4/10/2018

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Cloudera and Hortonworks are merging operations in a $5.2 billion deal. The merger combines Cloudera’s focus on data warehousing and machine learning with Hortonworks efforts in data management.

While described as a “merger of equals,” Cloudera shareholders will control 60 percent of the combined entity. Hortonworks shareholders will receive 1.305 common shares of Cloudera for each share of Hortonworks stock owned.
Cloudera’s stock surged more than 24 percent in after-hours trading to $21.25 per share. Hortonworks’ stock rose  25 percent to $27.35 per share.

The two companies combined have more than 2,500 customers and have generated approximately $720 million in  revenues through the first half of their current fiscal years.

Cloudera CEO Tom Reilly will be CEO of the combined company. Cloudera CFO Jim Frankola will keep his same position. Hortonworks COO Scott Davidson and Chief Product Officer Arun Murthy will maintain their roles.

Hortonworks CEO Rob Bearden will join the new company’s board of directors. That board will initially include four members from Hortonworks current board and five members from Cloudera’s current board. A tenth member will be elected by the combined board.
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  • What Leaders Should Know
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