• Many organizations are unsure of how to best incorporate AI to meet their industry-specific challenges – often because the use case options are so vast and so varied.
• Organizations – particularly mid-sized businesses, companies starting out on their analytics journeys, or those rolling out IoT solutions – should explore the services available from their telecom provider, many of which have built out their professional services capabilities around digital transformation.
Amazon teamed up with Berkshire Hathaway and J.P. Morgan Chase to create a separate operating company to find a more cost-effective and efficient way to deliver healthcare to the company’s respective employees.
While all three companies bring unique characteristics that set this union apart from other alliances, it is Amazon’s history of transformative innovation that elevates the alliance.
When three giants of their respective industries strike an alliance around U.S. healthcare, the world is bound to react (as are markets). And when one of those companies is Amazon, the word ‘disruption’ almost automatically enters the conversation. So, when news hit the wires that Amazon, Berkshire Hathaway, and J.P. Morgan Chase are entering a healthcare-related partnership to benefit their employees and lower their cost structure, speculation went into high gear and the conjecture started. Continue reading “Amazon Enlists Marquee Partners Berkshire Hathaway and J.P. Morgan Chase to Take On Healthcare”→
• With big data and analytics, older ideas like predictive analytics and AI are coming together to solve long-standing problems, most notably data quality.
• Sisense is adding another twist by taking advanced design and visualization concepts and putting those to work at the very beginning of the analytics lifecycle.
Invention invariably involves theft. Each generation of inventors stands on the shoulders of its predecessors, borrowing freely from their available pool of knowledge. Ideas are deconstructed, mixed up, and reapplied in new ways and within unexpected contexts to form, well, something new. Sometimes these new inventions are simply the opportunistic reinterpretation of an existing idea, taking something unique but impractical and turning it into something incredibly useful. That’s the way it was with the invention of the automobile, the light bulb and the radio. And that’s how it is with big data and analytics, where older ideas are only now coming together to solve long-standing problems. Continue reading “To Improve Data Quality, Sometimes the Best Place to Start is at the Very End”→
Cyber threats are impacting the bottom line, leading to increased security spending.
Priority is being placed on managed firewalls, identity management, and SIEM.
Telcos like BT are stepping forward with shared threat intelligence initiatives.
Endless new threats impacting businesses and consumers are driving demand for IT and cybersecurity products and services both by besieged IT departments – with the thankless task of protecting against invisible thieves and miscreants – and by their bosses, who have been firmly pulled into cybersecurity decision making.
Artificial intelligence (AI) and machine learning (ML) are being developed for networking and network management, with the first iterations providing deep analytics and augmenting IT’s root cause analysis workflows.
There are a number of gaps that need to be closed before the full capability of AI and ML systems is realized.
Artificial intelligence and machine learning techniques continue to be improved as companies and researchers develop and test products. In networking, established vendors and startups are developing management systems that promise to automate the time-consuming, low-value work of data collection and correlation as well as the AI and ML techniques to provide actionable information to network IT, such as predictive trouble alerts and recommendations to resolve problems. Vendors’ products such as the recently announced Cisco DNA Center Assurance, Cisco Network Analytics Engine, and Mist Systems Virtual Network Assistant are also using sophisticated UI elements to help IT better understand networking problems and assist with root cause analysis. We’ve heard these promises in the past, and for one reason or another, these advanced techniques failed to deliver. Before you go the AI route, here are some key questions to ask. Continue reading “Four Interview Questions to Ask WOPR for a Junior Network Administrator Role”→
Recent survey results reveal that companies have high expectations when it comes to artificial intelligence; close to half expect the technology to bring new capabilities to their organization.
Vendors are bringing new solutions to market to help companies implement their AI vision, offering solutions that speed and ease adoption of artificial intelligence, machine learning, and deep learning in particular.
Businesses are looking at artificial intelligence (AI) as a truly disruptive technology, with the potential to change the way they run their organizations. Unlike many other new solutions, which are often adopted because of their promises to cut costs, companies are embracing AI so they can to bring new capabilities to their teams or to improve the support they provide to their customers and partners. Continue reading “New Capabilities, Not Cost Savings, Are Biggest Driver of AI Adoption”→
• Underlying SD-WAN and virtual network functions address enterprise IT’s desire for more efficient operations.
• Managed service providers can differentiate themselves on operations and should invest in doing so.
I’ve heard some commentary that SD-WAN will become a feature of routers and firewalls, and the product segment will wither and die, but I don’t think SD-WAN products are going to disappear. Some vendors will consolidate features and functions. Cisco and VMware will integrate their SD-WAN acquisitions with their other networking products but that doesn’t mean enterprises will run to consolidated products. There will be some uptake of consolidated products, just like there was some uptake of router-firewall-VPN combinations, but enterprise demand for stand-alone SD-WAN products will continue for some time. There are a few reasons for this. Continue reading “Enterprises Want Streamlined Operations. Who’s Going to Provide It?”→
In the below pie-chart (source: GlobalData Multi-Client Survey, October 2017), we asked a large pool of multinationals the following question:
Do you have a managed services provider (MSP) who helps operate your network?
74% said ‘yes’, while the remaining 26% said ‘no’.
Our conclusions for the majority 74% positive response is that this is driven by the need for an integrated portfolio of services and fast responses for adjustments, maintenance, and repairs. We understand from respondents that network complexity is a hassle that they struggle to cope with, and that with digital transformation paths this complexity is only compounded.
We also think that this 74% penetration gives MSPs an ideal platform from which to expand into existing accounts with more services. SD-WAN implementations are a great vehicle for this, with central orchestration and more deeper management functions more effective for flexible real-time changes – including technical ones to network nuts and bolts and commercially with more pay-as-you-go and ‘as-a-service’ options. This opens up opportunities for service providers to move up the value chain in various areas, including for example professional services. In the same Multi-client Survey, the following graph demonstrates the types of partners that businesses use for. Continue reading “SD-WAN Value Blog Part 2: Managed Service Provider Opportunities to Drive Value”→
• Application and platform lifecycle management (APLM) presents significant new opportunities for leading IT vendors to provide solutions that help enterprises manage the application and platform portfolio ecosystem across the entire lifecycle.
• APLM represents the most important issue facing enterprise customers, who want to leverage, manage and orchestrate cloud-native app development technologies, yet remain challenged to find an entry point through best practices and integrated solutions.
This year a team of GlobalData analysts will explore the emerging competitive landscape based on a new concept we call APLM, which reflects the convergence of modern application development platforms and architectures, cloud hybridization, and the orchestration, automation, security and integration of business and IT systems. New and evolving solutions are being built using virtualization and containerization, DevOps best practices, and orchestration capabilities. Continue reading “Application Platform Lifecycle Management is a Key Component to DevOps Management Tools”→