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3 mistakes we made moving to a microservices architecture
During our move away from a monolithic architecture, we came up with three sources of friction in our microservices migration. We also developed ways to address them
Call for entries: The 2018 Enterprise Architecture Awards
Each year, Forrester and InfoWorld highlight the EA programs that have made a significant impact on their organizations —embracing the opportunities for helping their business be customer-led, insights-driven, fast, and connected
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AI, Coming to an Enterprise Application Near You
As businesses embark on automation, advancing operations, and mobilizing the workforce, artificial intelligence technology will be right in the mix. AI tools and analytical engines are bringing a new layer of intelligence to
HCI? HC why?
If you're looking at changing the way you deliver your IT infrastructure with a more automated, simplified delivery mechanism, try looking at this new breed of HCI.
How to incorporate enterprise legacy systems into your digital strategy
Legacy systems complicate digital transformation efforts but replacing them isn’t always a choice. Fortunately, with a little effort they can be folded into a more modern digital architecture
Something is (still) rotten in the kingdom of artificial intelligence
Four types of problems in the land of artificial intelligence
Designing a latency-free enterprise
The businesses that succeed in the future will harness the potential to create real-time, latency-free enterprises that drive new revenue, boost customer engagement, and enhance employee productivity
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Applying the Right AI for Your Business Opportunities
The AI opportunities for enterprises include improving customer experiencing, automating repetitive tasks, and bringing game-changing capabilities to market. But AI today is a mix of more mature areas such as natural language
From domain-driven design to microservices
How the domain-driven design development philosophy can be suited to microservices
5 steps for baking AI into your enterprise
AI is driving digital transformation in business and the wider economy. For organizations adopting digital transformation strategies that leverage AI, lessons from the kitchen can help inspire best practices and help ensure success
How to introduce microservices in a legacy environment
It is critical to balance risk with reward and, when it comes to microservices, embrace an evolutionary approach and process
Embrace real-time data integration to create positive customer experiences
iPaaS allows enterprises to remain relevant against future disruptions in most changing digital competitive environments
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Implementing Your First AI Solution: Finding Quick Wins and Avoiding Speed Bumps
AI is still in early adoption phases at many enterprises with many open questions. How do you identify appropriate opportunities? How do you gain support for pilots that require iterative experimentation? This webinar will focus on
The 2017 Enterprise Architecture Awards
This year’s winning EA initiatives, brought to you by Forrester Research and InfoWorld, drive the customer-obsessed digital business
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Tech Talk: Pricey iPhones, intent-based networks, GPS spoofing and smartwatches
Our panel looks at whether smartwatch makers blew it by not focusing on the enterprise, why intent-based networking is the next big thing, whether GPS spoofing is real, and how high is too high when it comes to iPhone prices.
Security in a cloud-native environment
Cloud-native design can offer tremendous security—but getting there needs a structured design approach to safeguard enterprise systems and data
You can't build enterprise AI if you suck at data & analytics
Executives are anxious to jump on the AI bandwagon, but many organizations lack the requisite data & analytics infrastructure or executive culture to build production machine learning systems.
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Enterprise Service Management: Uniting Customer and Service Models
At the backbone of enterprise service management (ESM) there’s ITIL and service management concepts and capabilities. Driving benefits like department transparency, business continuity, cost control, and staff productivity, ESM is
Why Google might lose the enterprise AI wars
Google leads in cutting edge AI research, but lags behind Amazon, Microsoft, and IBM in market share for enterprise cloud and AI solutions. To win the enterprise A.I. wars, the search giant must overcome two key disadvantages.
Why containers should make you stop and think
Container proliferation is reshaping how we think about infrastructure, but it still requires big picture (and little picture) architectural know-how
Fog is coming, and that's good news for the cloud
Fog allows data to be processed, analyzed, stored, and acted upon more quickly through the use of more local devices. This leaves the cloud free to do what it does best.
5 reasons Node.js rules for complex integrations
With JavaScript, JSON, REST, NPM, and an ever-increasing supply of modules, Node.js should be your first choice for integration
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