The growth of IoT devices in the consumer market has grown exponentially in recent years and this is set to continue with 24 billion internet-connected devices expected to be installed globally by 2020. With this increase comes fears of privacy and sensitive data loss as prominent attacks and security flaws, such as the recent Samsung and Roku smart TV attack, come to the fore. Likewise, as smart cities and enterprises realize the potential of IoT to capture valuable information, attackers are using vulnerable connected devices as entry points to access sensitive data that lies within a network.
This report discusses enterprise IoT security challenges, as well as eight steps you can take to safeguard enterprise IoT security.
Not sure if you should be using artificial intelligence or blockchain technology? Wondering if one is safer than the other? Gain insights on the characteristics of both and learn which one is the biggest threat.
Robotic process automation is becoming increasingly recognized as the “gateway drug” to digital transformation, particularly among the more advanced practitioners. However, the very fact that its impact is potentially enterprise-wide means it requires a coalition of stakeholders in order to be successful.
How prepared is your operation for broader automation deployment?
Intelligent Automation can fundamentally transform a business. However, according to a recent report, 50% of automation programs stall between 4-7 automation's in production (read: bots).
Why is this?
This 2nd report in SSON's Annual Global Intelligent Automation Market Report Series answers this question. It lists the inhouse "coalition partners" that are absolutely essential to automation's success; and highlights the Stall Points that will derail your attempts to scale. Download the report to discover best practices that have been acquired over the past five years of RPA implementations and gain insights on scaling robotic automation programs.
Data analytics and data science roles have been increasing within SSCs and other operations. With many organizations understanding the true value and power that data analytics can have on all aspects of the company, including HR and retention strategies, now is the time to develop a data strategy that will separate you from your competitors. Access this article to learn how organizations are utilizing data analytics to drive different functions in their enterprise to improve retention and overall performance. For receive a copy in your inbox, please email firstname.lastname@example.org
As the the progression of technology continues, companies are under an increasing amount of pressure to scale up their intelligent automation operations in order to stay ahead of the competition. With this kind of pressure comes many obstacles such as change management and efforts towards developing workforce talent to be consistent with operations. Whether you're starting out in your IA journey or maturing your IA operations, all executive leaders across finance, technology, healthcare, and other industries are facing the same challenges when advancing their operations. Our industry leading speakers are no strangers to intelligent automation operations as well as the obstacles that follow, and thanks to their expert insights our Intelligent Automation Week agenda is focused around gaining the skills and knowledge you need to conquer modern IA challenges.
We spoke with our executive speakers and asked what kind of problems they are currently facing in their intelligent automation operations in order to create an event that will provide solutions for the most common IA challenges. Experts from Mars, Inc., Lowes, Houston Methodist Hospital, and AIG shared with us their most common obstacles including upskilling workforce, scaling up operations, and managing the change that comes along with it. Access this infographic to learn more about the current challenges intelligent automation leaders are facing across different industries and how the Intelligent Automation Week Chicago program came help overcome them.
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