When entrepreneurs give business advice, they consistently emphasize the importance of using available technology and digital strategies to save time and maximize results. If your business handles massive amounts of data, streamlining the way you manage and store information is essential. The healthcare industry, however, has historically failed to adopt the necessary tools and strategies for handling sensitive patient information. Adapted from technology used in the finance industry, the blockchain could be the new paradigm the medical community desperately needs. A patient's medical information may include notes from doctor visits, lists of their prescription medications and allergies, results of diagnostic tests, vaccination and surgical records, psychiatric evaluations, diagnostic codes for insurance purposes, and documentation required to receive disability accommodations or social security benefits.
Most manufacturers have connected their operational technology – including industrial control systems and robotic equipment –to the internet, yet the lack of basic security protocols leave these companies open to cyberattacks. Dewan Chowdhury, founder of MalCrawler, said that many robotics that work as part of industrial systems on manufacturing floors are still leveraging outdated and unsupported operating systems – such as Windows XP. Chowdhury presented his research at a SAS session titled "Hack Your Robot". "Even before the robotics, the issue is that the programs that control the robotics are completely wide open to vulnerabilities," said Chowdhury. For manufacturing companies, cybersecurity threats are beginning to make headlines.
When Facebook co-founder Mark Zuckerberg posted a status update Wednesday on the still-unfolding Cambridge Analytica scandal, he called it an "issue," a "mistake" and a "breach of trust." But he didn't say it was a data breach. Ever since the news broke this weekend that the U.K. firm Cambridge Analytica obtained information about 50 million Facebook users without their knowledge, the social media site has been carefully avoiding using those words. Executives are profusely apologizing but stopping short of characterizing the situation as a data breach -- a phrase that brings to mind images of hacker frantically typing in a dark room or stolen credit card numbers being shared online. Facebook has 1.4 billion daily users it doesn't want to scare off with the "data breach" characterization.
Organizations around the world -- and not just those in the EU but also those consuming goods and services from Europe -- need to prepare now for the EU GDPR. If you're providing electronic goods or services to anyone who's in Europe, be they a citizen, a temporary resident, or even if they're passing through a European airport for half an hour, potentially, GDPR may apply, and you need to comply with that. It may also apply to anyone in the world, anywhere, if you are profiling or doing analytics on them. You have limited time and increasing pressure to get ready by 25 May 2018. GDPR practical data actions and accelerators from IBM can help your organization on its journey to compliance.
Chatbots, autonomous vehicles, and connected machines in digital factories foreshadow what the future will look like: The widespread implementation of Artificial Intelligence (AI) applications brings many advantages for businesses such as increased efficiencies, fewer repetitive tasks and better customer experiences. Vulnerability to malicious cyber-attacks or technical failure will increase, as will the potential for larger-scale disruptions and extraordinary financial losses as societies and economies become increasingly interconnected. Companies will also face new liability scenarios as responsibility for decision-making shifts from human to machine and manufacturer. In the new report "The Rise of Artificial Intelligence: Future Outlook and Emerging Risks", insurer Allianz Global Corporate & Specialty (AGCS) identifies both the benefits and emerging risk concerns around the growing implementation of AI in society and industry, including in the insurance sector. AI, also referred to as machine learning, is essentially software that is able to think and learn like a human.
MapR Data Fabric for Kubernetes provides persistent storage for containers and enables the deployment of stateful containers. It addresses the limitations of container use by providing easy and full data access from within and across clouds and on-premises deployments. Now stateful applications can easily be deployed in containers for production use cases, machine learning pipelines, and multi-tenant use cases. As organizations adopt containers at a larger scale, and as they move containers as a deployment model to production, other aspects such as storage, monitoring, and performance becomes essential as well. MapR Data Fabric for Kubernetes provides several features that will assist organizations in their journey with containers.
IBM has introduced its annual forecast "IBM 5 in 5", highlighting innovations in science and technology, which will have the greatest impact on our lives in the next five years. Among them are AI, quantum computing, blockchain and cybersecurity. Our oceans are polluted, but microscopic robots based on AI can save them, as they believe in IBM. Small autonomous microscopic units using AI and cloud computing technologies will be introduced around the world. Such a network will constantly monitor the state of water, one of the most important and vulnerable resources of the Earth.
Ellen M Derrico, VP, Product Marketing, Global Technology Solutions, IQVIA, Ellen Derrico is currently leading a transformation for IQVIA Technology Solutions Global Business Unit as Vice President, Global Product Marketing.El... Customer engagement is a business communication connection between an external stakeholder (consumer) and an organization (company or brand) through various channels of correspondence. This connection can be a reaction, interaction, effect or overall customer experience, which takes place online and offline. Customer engagement management has evolved over the years, from account management and campaigns to customer journey mapping, personas, and advanced predictive analytics, with everything in between and surrounding-- including artificial intelligence (AI) and machine learning (ML). Never have customers been more under the microscope, all in the hope of permanently winning hearts and minds. It is getting more and more difficult to maintain customer engagement, with all the new technology developments happening every day.
Siri just can't seem to figure out when to keep quiet. Many privacy conscious users have configured their iPhone settings so that any incoming notifications won't be displayed on the device's lock screen. In fact, with Apple's latest mobile operating system, iOS 11, this is a default feature. But a recently discovered security flaw shows that the iPhone maker's chatterbox voice assistant will still read your hidden notifications aloud even if your phone is locked. A recently discovered security flaw shows that Siri will still read your hidden notifications aloud even if your phone is locked.
Security professionals in the enterprise are facing an uphill battle to maintain control of corporate networks. Data breaches and cyberattacks are rampant, sensitive information belonging to both companies and individuals is spilling unchecked into the underbelly of the Internet, and with the emergence of state-sponsored threat actors, it is becoming more and more difficult for organizations to keep up. It is estimated the cyberattacks and online threats will cost businesses up to $6 trillion annually by 2021, up from $3 trillion in 2015. Once cyberattackers compromise an enterprise network or cloud service, information can be stolen, surveillance may be conducted, or in some cases, ransomware attacks can lock down an entire operation and hold a business to ransom. However, new technologies are entering the cybersecurity space which may help reduce the financial cost and burden on cybersecurity professionals pressed for time and often operating with limited staff and budgets.