In addition to all the benefits, IoT is also bringing new kind of customer experience challenges – cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.

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Cybercrime costs the global economy as much as $450 billion each year. And, the median cost of cybercrime has increased by nearly 200% in the last five years.

Meanwhile, collaboration has become the cornerstone of successful organizations. But collaboration often comes with a risk. The number of cyberattacks will grow as employees increasingly use collaboration tools to maximize their company’s productivity. This is because these tools can provide new points of entry for hackers looking to cause damage. This issue could become more serious as we will see more radical collaboration tools in the days to come. Fortunately, there are always going to be readily available solutions.

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Over the years, marketing in general has shifted from outbound “interruption-based” marketing to inbound “get found” marketing. This means demonstrating thought leadership while creating remarkable content, and sharing it through channels in which people with interest can find it. This is way more fun, and also means that marketing activities are far more measurable. The marketing A-B testing and associated analytics integrate this art form with science – a combination that makes it more cost effective, creates more expected results, and ultimately makes it something I particularly enjoy.

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A revolutionary change in the industry was the foundation of cloud on the automation of virtualization technologies. Initially it was meant for infrastructure, but with the advent of new and innovative cloud services it has crossed the boundary of Infrastructure and invaded the application space. The concept of ‘as a Service’ model has three pillars: IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service). Over a period of time cloud services have grown and diversified to the extent that clubbing the services into these three pillars is not only difficult but unattainable. That’s the reason none of the public cloud providers classify their services in ‘as a Service’ model category.

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«We have several customers now running private clouds. They’re not as large as they should be but it’s getting there. The adoption challenge has been pretty simple. Look at the world today of virtualization vs cloud,» stated Nara Rajagopalan, CEO of Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.

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The next BriefingsDirect security market transformation discussion explores how airline Allegiant Air solved its payment card industry (PCI) problem — and got a whole lot better security culture to boot.
When Allegiant needed to quickly manage its compliance around the Payment Card Industry Data Security Standard, it embraced many technologies, including tokenization, but the company also adopted an improved position toward privacy methods in general.

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«When you think about the data center today, there’s constant evolution, The evolution of the data center and the needs of the consumer of technology change, and they change constantly,» stated Matt Kalmenson, VP of Sales, Service and Cloud Providers at Veeam Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.

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A new report from big data analytics provider Mu Sigma argues that higher performing companies are four times more likely to use a consistent approach to big data analysis, while consensus is divided on whether the CIO or CFO should be in charge.

The findings come from a survey of 150 large enterprises which turn over at least $500 million (£377.2m) a year, and draw some interesting conclusions on how large firms prioritise their data crunching. 23% of those polled said the CIO was responsible for analytics, compared to 17% who cite the CFO. In contrast, only 4% of respondents said they have a chief data scientist in charge, compared to 9% for a chief data officer and 13% a chief analytics officer.

With this in mind, there is also a distinct lack of consensus on the models organisations adopt. The majority (44%) of respondents said they use a centralised model, whereby a central group oversees analytics development for the entire company, while 22% said they opt for an approach where individual business units govern themselves. 16% adopt a federated approach, which blends the two.

Almost two thirds (65%) of senior decision makers polled say they recognise the positive impact analytics can have on business growth. The issue, the report argues, is around harnessing it properly. “Changes in customer behaviours are leading to a scramble for new capabilities and offerings – which in turn fuels the need for analytics and insights,” said Tom Pohlmann, head of values and strategy at Mu Sigma. While many enterprises are taking the right approach to meeting those challenges, many are still not paying enough attention to creative problem solving and consequently falling short in analytics.

“Organisations need to understand the importance of decisions in order to gain truly valuable insights from their data – and sometimes you need to ‘think outside the box’ to get there,” Pohlmann added.

Seven out of 10 (70%) respondents said that they plan to make improvements to their big data analytics approach and have a clearer roadmap of what they want to address in the coming year.

IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these.
In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and efficiencies. They shared the lessons learned, why they believe IoT works better with the cloud, and the four steps organizations should follow to ensure they are able to achieve big business intelligence with IoT.

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«Operations is sort of the maturation of cloud utilization and the move to the cloud,» explained Steve Anderson, Product Manager for BMC’s Cloud Lifecycle Management, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.

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