This Forrester research looks at how 7 full-stack public cloud development platform providers perform against a 31-criteria evaluation. The most important vendors — Alibaba, AWS, CenturyLink, Google, IBM, Microsoft, and Oracle — were researched, assessed, and scored.
Download the complete report and find out how each provider measures up and helps application development and delivery professionals make the right choices.
We are renegades and realists who blend strategy,
technology and creativity to tackle every client
challenge. We imagine the businesses that will shape
tomorrow’s world and help our clients make them real.
We uncover insights from data that others can’t see
and deliver progressive ideas through the use of IBM
Design Thinking. We ground every strategy with a
focus on delivering the ultimate experience – for
customers, for employees, for shareholders.
Everything we do drives measurable impact at scale.
For more information, visit ibm.com/ibmix
Car-sharing, ride-sharing and ride-hailing aren’t
new. Uber and other personal mobility services
have redefined how people move from place to
place. And now these services are beginning to
redefine traditional car ownership itself. As people
move from one vehicle to another, their personal
information and preferences need to follow them,
so the car they use feels like their own. Blockchain is
defined as a shared, immutable ledger, and it can
address many of the challenges that new types of
personal mobility present.
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
Over the years, IBM Resilient customers have increased
their IR sophistication at various levels across a spectrum
of maturity. Maturity levels are often necessitated by industry,
available resources, or experience, but most IBM Resilient
customers continually look to evolve their IR function into
a more advanced phase.
Security leaders across all industries face mounting
challenges. Cyberattacks are continually growing in
volume, complexity, and sophistication, and incident
response (IR) teams are pushed to the limit of their time,
skill, and resources. Additionally, the average Security
Operation Center (SOC) uses more than 75 different
security tools – making full visibility nearly impossible
and integrating those tools challenging as well.
Digital transformation is poised to change the supply chain more
profoundly than any other functional area and more dramatically than at
any point in its history in terms of driving efficiency and resiliency to
disruption. In the context of the challenges facing supply chains, both now
and in the future, it becomes clear that the old ways of working will not
suffice and that even best-in-class performance today is unlikely to be good
enough in the future. It is the view of IDC that the supply chain must
become a "thinking" supply chain, one that is intimately connected to all
data sources, enabled with comprehensive and fast analytics, openly
collaborative through cloud-based commerce networks, conscious of
cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime
driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
Digital business is changing business models – and how we conduct business.
It is both connecting and blurring the lines between the digital and physical worlds.
It is changing how businesses communicate, transact and interact with customers,
suppliers and partners. And it is accelerating the pace of business, in a world
already operating 24/7.
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
IBM has established a global
readiness programme tasked with
identifying the key impacts of the
GDPR across IBM’s business and
preparing IBM’s internal processes
and commercial offerings for
compliance with the GDPR.
It is breathing life into our existing energy resources
and creating new opportunities.
Better use of data has visible, tangible and immediate results.
It is helping energy companies become safer, more reliable
and more efficient.
This is good for both our wallets and our planet.
For more information visit: www.ibm.com/energy
or watch our webinar here
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, evergage, google, IBM, localytics, Mixpanel, optimizely, sAs, and Webtrekk — and researched, analyzed, and scored them. this report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured.
• Open, trustworthy and secure approach to put AI to work for business
• Go live and scale faster with AI-infused platform
• Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure
• Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides
• Progressing your AI/data science with Watson Studio
• Register now and get ready to simplify and scale your AI investments to work for your business.
This white paper will provide a road map to the most effective strategies and technologies to protect data and provide fast recovery should data be lost or corrupted due to accident or malicious action.