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C2070-982 exam Dumps Source : IBM Case Foundation V5.2, Specialist

Test Code : C2070-982
Test name : IBM Case Foundation V5.2, Specialist
Vendor name : IBM
: 116 actual Questions

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IBM’s ‘large guess’ on Kubernetes is unifying cloud providers throughout platforms | killexams.com actual Questions and Pass4sure dumps

Navigating cloud computing functions can likewise be intricate, particularly when they advance from distinct suppliers. hence, setting up a superior groundwork turns into even more necessary in maintaining a success operations across today’s multicloud panorama. For IBM, that basis is Kubernetes, the open-source implement for managing containerized application applications at scale.

“IBM has taken a capacious wager on Kubernetes two and a half years ago,” referred to Daniel Berg (pictured), distinct engineer, IBM Cloud Kubernetes provider, at IBM. “[We] on no account basically looked back; it’s their simple basis for their platform services.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s cellular livestreaming studio, everyone the artery through the IBM suppose adventure in San Francisco. They mentioned IBM’s Kubernetes functions and the company challenges of poignant operations between inner most and public clouds. (* Disclosure beneath.)

Bridging the multicloud hole

The IBM Cloud Kubernetes provider at the flash has two distributions: IBM Cloud deepest, or ICP, which operates on-premises, and a managed service in the public cloud. So, what are the benefits of completely keeping a private cloud with Kubernetes? The container administration platform modernizes and organizes years-ancient content material.

“We’ve modernized it, achieve it in containers, install it, and control it on Kubernetes. The first-class factor is that content you can carry on-premises where it’s vital essentially the most and sprint it in ICP — and likewise seize that and sprint it in their public cloud,” Berg defined.

Kubernetes is simple to installation, install, and Get everyone started. despite the fact, it isn't without its problems. With enhanced proliferation comes enhanced issue in managing the distinctive clusters, Berg cited. “There are nonetheless some complexities, as a result of … you’ve received construction clusters; you’ve bought verify clusters,” he pointed out.

To alleviate the issue, IBM launched a brand novel product referred to as Multicloud supervisor, which provides a maneuver aircraft to maneuver substances throughout various clouds and disparate platforms. it really works with ICP and IBM Kubernetes provider however is additionally compatible with Amazon, Google, Azure and OpenShift. Multicloud supervisor additionally helps with security compliance and enforcement, so it provides safety anywhere it's missing.

For corporations discovering it under workable to preserve consistency and requirements whereas customizing for specific information needs, Berg cited the advantages of assorted distributions. “if you would fancy anything that’s totally, incredibly particular to a given expend case or you hold variations in your infrastructure that you simply exigency to hold more flexibility, that’s the station IBM Cloud private comes in,” he talked about.

Two clouds are improved than one

moving to public cloud in a solitary fell swoop is a Herculean project, even for massive organizations corresponding to Amazon and Google. this is where hybrid cloud is available in. In IBM’s case, it combines ICP and OpenShift to give OpenShift users IBM’s content material, integrated monitoring, and integrated logging onto the platform for which they're already standardized.

“as a result of they constructed and are standardized on Kubernetes, they give Kubernetes carrier and they carry out this at scale and comfy, as well as incredibly available,” Berg stated.

Berg did forewarn against the expend of only 1 cloud vendor, and he additionally informed agencies to be consistent in what they wish out of their suppliers. “but the factor that consumers carry out should examine, and what they carry out deserve to standardize across an business, is a few of the core tenets and core applied sciences,” he brought.

Visibility into workloads is additionally necessary to a corporation’s operations, Berg explained. And IBM Cloud Monitoring does this. The device is not enjoyable to Kubernetes, either. quite, it can likewise be extended into virtual machines and distinct kinds of workloads. IBM’s monitoring is greatly helped by its partnership with Sysdig Inc., Berg added.

“that you may’t build a cloud-native solution devoid of monitoring, correct? Monitoring and log … it’s fancy peanut butter and jelly. You’ve got to hold them,” Berg concluded.

Watch the comprehensive video interview below, and construct inevitable to seize a survey at more of SiliconANGLE’s and theCUBE’s coverage of the IBM assume experience. (* Disclosure: IBM subsidized this section of theCUBE. Neither IBM nor different sponsors hold editorial control over content material on theCUBE or SiliconANGLE.)

picture: SiliconANGLE considering the fact that you’re privilege here …

… We’d want to order you about their mission and the artery that you can assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic cost of the content, now not advertising. unlike many on-line publications, they don’t hold a paywall or sprint banner promoting, as a result of they are looking to preserve their journalism open, without hold an result on or the should chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — seize loads of challenging work, time and funds. preserving the excellent excessive requires the relieve of sponsors who're aligned with their imaginative and prescient of ad-free journalism content material.

in case you just fancy the reporting, video interviews and other ad-free content material privilege here, please seize a second to check out a sample of the video content material supported by means of their sponsors, tweet your help, and retain coming again to SiliconANGLE.

Cloud IDE evaluate: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia | killexams.com actual Questions and Pass4sure dumps

Bringing on a novel developer to a programming assignment with many dependencies can now and again be a nightmare. I’ve viewed an vehement case where the enterprise ultimately gave up and purchased the developer a novel computing device after a month of considerations making an attempt to configure his ancient one. extra generally, setting up a brand novel construction ambiance for a brand novel developer could seize between three days and two weeks.

That vicissitude is likely one of the motivations for web-based developer workspaces. an extra motivation is that machines for local construction exigency gigantic CPU and RAM elements, which raise the cost of hardware; those components enable the developer to build the challenge expeditiously. computers for having access to web-based workspaces can Get away with lower-end hardware than computer systems for local construction.

As an additional advantage, net-based mostly developer workspaces can centralize and standardize a configuration. How many times hold you ever heard “it really works on my computer” in keeping with a bug report? Standardized environments can dispose of that issue.

in this article I’ll discuss three cloud IDEs that deliver web-primarily based developer workspaces. Two of them—Eclipse Theia and Eclipse Che—are pretty fresh free-open-supply projects presently under the auspices of the Eclipse groundwork. The third —AWS Cloud9—is an older product it's now owned through and built-in with Amazon web capabilities.

Eclipse Theia

Eclipse Theia is an open-supply venture to supply the visual Studio Code evolution event in a browser; it can additionally sprint on the computer in the Electron shell. Theia depends on visible Studio Code’s Language Server Protocol to provide language-selected code completion and the other features they hope in a modern code editor.

because it can seize skills of the language servers written for visible Studio Code, Theia has entry to more than 60 available language servers together with JavaScript, Java, Python, and TypeScript. Theia likewise supports the debug adapter protocol.

Theia itself is written in TypeScript and makes expend of PhosphorJS because the foundation for its shell and its draggable dock layouts. It integrates a terminal that reconnects on browser reload to retain the command-line history. that you can create your own extensions to Theia if you want.

There are three necessary tips on how to are attempting Theia. One is to sprint it in Docker:

docker sprint -it -p 3000:3000 -v “$(pwd):/domestic/undertaking:cached” theiaide/theia:next

The 2d is to sprint it in Gitpod (see sidebar and screenshot under). The third is to sprint Eclipse Che version 7 or later (see the subsequent area), which makes expend of Theia as its UI as a substitute of the Java UI utilized in older types of Che.

The Eclipse Theia mission comprises contributions from TypeFox, Ericsson, crimson Hat, IBM, Google, and ARM. The project roadmap contains a plug-in system to sheperd VS Code extensions (beyond language servers), integration with trying out frameworks, and different advancements.

eclipse theia gitpodIDG

within the screenshot above we're operating Theia in a browser on the GitHub theia-ide/theia mission, by the expend of Gitpod. word Theia’s similarity to visual Studio Code in each elements and look. additionally be alert that Gitpod automatically developed the chore within the terminal window.

Eclipse Che

Eclipse Che is an open source developer workspace server and cloud IDE designed for teams and agencies. Che edition 7, presently in beta, uses Eclipse Theia because the foundation of its IDE. Older types of Che expend a GWT-primarily based IDE. Che workspaces sprint in containers on Docker, OpenShift, or Kubernetes.

that you can sprint Che within the public cloud, a non-public cloud, or deploy it on any working system. Che has been verified on Ubuntu, Linux, MacOS, and home windows. that you can additionally sprint Che in a self-provider workspace hosted at https://che.openshift.io/, for which you’ll should hold or create a free OpenShift or crimson Hat log-in.

in addition, Eclipse Che comprises the core of red Hat CodeReady Workspaces, the brand novel construction atmosphere for OpenShift. besides being supported via red Hat, CodeReady Workspaces hold pre-constructed stacks with supported red Hat applied sciences and consist of red Hat SSO to address authentication and safety between the developer groups.

The Eclipse Che assignment contains contributions from more than 20 businesses including CodeEnvy (the fashioned developer of Che), Docker, IBM, red Hat, and TypeFox. The Che roadmap comprises finishing the Theia integration and the plug-in methods for Theia and Che.

eclipse cheIDG

in this screenshot they are working Eclipse Che 6 in a browser, hosted on che.openshift.io, with a Node.js stack. The mission is a “whats up, World!” web app in keeping with Node.js and specific.

AWS Cloud9

The Cloud9 IDE, which i mentioned as a ebb IDE in 2017, now belongs to Amazon internet services. besides having a browser-based mostly, multi-language code editor, debuggers for a few languages, and a terminal that’s pre-licensed for AWS capabilities, Cloud9 now permits for collaborative coding.

which you could sprint Cloud9 construction environments on managed Amazon EC2 circumstances or any Linux servers that assist SSH. Cloud9 comprises tooling for upwards of 40 programming languages, youngsters best five hold debuggers, seven hold linting, and 12 hold code completion.

in case you sprint Cloud9 on EC2, the EC2 instance will cease immediately after you near Cloud9, through default after half-hour, and your code will persist in Amazon EBS storage. in case you sprint Cloud9 in your personal Linux server, the code will persist in native storage. in case you restart Cloud9 after its underlying instance has stopped, Cloud9 will instantly restart the specimen and restoration your edit session where you left off.

that you may conveniently populate a Cloud9 instance from a repository or from native info. within the screenshot under, I used Git from the Cloud9 command line to check out the GitHub repository for Keras. if you are enhancing a mission in line with a repository for which you hold commit permission, which you can supersede the repo and tug changes as obligatory from the command line. Cloud9 doesn’t hold graphical champion for edition control.

word the contour view on the remedy of the screenshot below, which works nicely for indecent navigation inside a file. The ebb menu shown on the well-behaved left works properly for more accustomed navigation. There is not any refactoring functionality in Cloud9, however there's benchmark code reformatting.

AWS Cloud9 is integrated with Amazon Lightsail, AWS CodeStar, AWS Lambda capabilities, and AWS CodePipeline. The Lambda integration seems to be notably decent.

aws cloud9IDG

AWS Cloud9 IDE showing Keras Python code cloned from GitHub. be alert the define view at the remedy and the alternate options on the ebb menu. The keyboard shortcuts proven are for MacOS.

Which cloud IDE?

Eclipse Theia, Eclipse Che, and AWS Cloud9 everyone relieve you edit and debug code in distinct programming languages from a browser. There are variations within the layout and performance, but now not satisfactory to matter unless you wish to accomplish something pretty advanced, equivalent to refactoring.

Cloud9 is an in particular decent option if you are engaged on AWS tasks, and Che is an in particular well-behaved preference (as CodeReady) if you're engaged on code for pink Hat systems. Theia gives the nicest modifying atmosphere of the three, however once Che 7 comes out of beta it will hold a Theia IDE as smartly.

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Clarify Health CEO to Present at HIMSS19 on The Future of care Delivery | killexams.com actual questions and Pass4sure dumps

SAN FRANCISCO--(BUSINESS WIRE)--Feb 13, 2019--Healthcare providers are increasingly being held accountable for the cost, quality, and outcomes of care – yet they exigency the proper tools and insights to be successful. Clarify Health Solutions, Inc., a pioneer in AI-enabled care optimization, will be sharing strategies and tactics for tackling this industry challenge at HIMSS19 on Wednesday, February 13 at 3:00 p.m. (EST) in the IBM Theater (booth #6459).

In this session, Jean Drouin, MD, CEO and founder, will explore how the future of patient care will be built on predictive analytics, precision workflows, and personalized risk management.

This session will likewise highlight how:

- Clarify Health is building the foundation for the digital care guidance of the future.

- Integrating the privilege data sources and applying machine learning enables game changing predictive analytics

- SBDoH data can power the most precise risk-stratification and case-mix adjustment in the industry

- To circle AI generated insights into action

- These four capabilities power a real-time care guidance platform that is changing care delivery across the US

Clarify Health provides the breakthrough technology and analytics platform to personalize and optimize patient care journeys. Their purpose-built solutions - developed by a world-class team of data scientists and engineers from the pecuniary services industry, top clinical operations experts, and logistics specialists - are transforming healthcare processes and workflows. Clarify delivers actionable insights that enable physicians, health systems, payers, and life sciences organizations to deliver better care today and evolve for a value-based world.

View source version on businesswire.com:https://www.businesswire.com/news/home/20190213005100/en/

CONTACT: Clarify Health

Kendall Reischl





SOURCE: Clarify Health Solutions, Inc.

Copyright commerce Wire 2019.

PUB: 02/13/2019 06:00 AM/DISC: 02/13/2019 06:01 AM


Copyright commerce Wire 2019.

AI Weekly: Trump’s American AI Initiative lacks core | killexams.com actual questions and Pass4sure dumps

It’s been an eventful week in tech. Amazon announced it would abandon plans to open one of its two HQ2 locations in novel York City, and the company likewise acquired Wi-Fi mesh network startup Eero for an undisclosed sum — a hint at Amazon’s future smart home ambitions. The California Department of Motor Vehicles released reports from companies currently testing self-driving cars — fancy Apple, Alphabet’s Waymo, and GM Cruise. Google pledged to expend $13 billion on U.S. datacenters and offices in 24 states this year, and driverless truck startup TuSimple raised $95 million at a $1 billion valuation, joining the ranks of Aurora and Nuro as one of the best-funded companies in the autonomous vehicle industry.

Nearly lost in the shuffle was President Trump’s signing on Monday of an executive order establishing a program — the American AI Initiative — that formalizes several of the proposals made last spring during the White House’s acme on AI. Specifically, it tasks federal agencies with devoting more resources to AI research, training, and promotion and instructs the White House Office of Science and Technology Policy (OSTP), the National Institute of Standards and Technology (NIST), and other departments to draft standards guiding the evolution of “reliable, robust, trustworthy, secure, portable, and interoperable AI systems” and create AI fellowships and apprenticeships. In the future, these agencies will be required to construct a well-behaved faith distress to provide data, computing resources, and models to AI researchers whenever workable and to “prioritize AI” investments in their budgets.

Unfortunately, it’s a case of too little, too late.

The U.S. joins many other countries that hold launched national AI guidelines and policies — Australia, Canada, China, Denmark, Finland, France, Germany, India, Japan, Kenya, Malaysia, Mexico, novel Zealand, Poland, Russia, Singapore, South Korea, Sweden, Taiwan, Tunisia, the United Arab Emirates, and the U.K. Most hold already outstripped — or advance near to outstripping — the U.S. with respect to the amount of funding they’ve set aside for AI research.

Canada’s Pan-Canadian simulated Intelligence Strategy, for instance, is a five-year $94 million (CAD $125 million) map to invest in AI research and talent, complementing the government’s investments of nearly $173 million (CAD $230 million) and $45 million (CAD $230 million) in Scale.AI, a business-led consortium that expects to create near to 16,000 jobs. The EU Commission, for its part, has committed to increasing investment in AI from $565 million (€500 million) in 2017 to $1.69 billion (€1.5 billion) by the cease of 2020. France recently took the wraps off a $1.69 billion (€1.5 billion) initiative aimed at transforming the country into a “global leader” in AI research and training. And South Korea last spring unveiled a multiyear, $1.95 billion (KRW 2.2 trillion) distress to strengthen its R&D in AI, with the goal of establishing six AI-focused graduate schools by 2022 and training 5,000 AI specialists.

China’s AI map is perhaps the most ambitious: In two policy documents, “A Next Generation simulated Intelligence evolution Plan” and “Three-Year Action map to Promote the evolution of New-Generation simulated Intelligence Industry,” the Chinese government laid out its roadmap for cultivating an AI industry worth roughly $147 billion by 2030. The country has already built a $2.1 billion technology park for AI research in Beijing.

Money isn’t the be-all, end-all in AI policy, of course — ethics matter, as evidenced by Amazon, Microsoft, and Google calling for guidelines governing the expend and evolution of such AI technologies as facial recognition. (All three companies are members of the Partnership for AI, an industry consortium that includes groups sometimes opposed to AI products — fancy Amnesty International and the American Civil Liberties Union.) Unfortunately, the American AI Initiative falls short in this regard, too.

“I’m skeptical that the passing mention of these protections will result is any earnest efforts to build in preempt legal, ethical, and policy safeguards to ensure that AI systems are deployed responsibly,” Professor Kate Crawford, codirector and cofounder of the AI Now Institute at novel York University, told IEEE Spectrum this week. “We are concerned with the focus on industry at the expense of a broader democratic process and an evidence-led approach to AI policy.”

In contrast to the U.S., the EU Commission has crafted a set of AI guidelines to address ethical issues such as fairness, safety, and transparency and has established the European AI Alliance, a forum for discussion of “all aspects” of AI evolution and its impacts. Additionally, the corpse has tasked the High-Level Group on simulated Intelligence — which acts as the steering group for the European AI Alliance — with drafting ethics guidelines.

France likewise plans to develop its own AI regulations and ethics policies, as does Germany. (The latter last year formed a 38-person commission to investigate how machine learning and algorithmic decision-making might disrupt society, and it plans to release a report with recommendations by 2020.) Meanwhile, Singapore’s Advisory Council on the Ethical expend of AI and Data and the U.K.’s Centre for Data Ethics and Innovation hold been tasked with developing a common set of AI ethics standards and frameworks for their respective governments.

The American AI Initiative likewise fails to address issues of multinational collaboration and immigration. That doesn’t advance as a surprise, given the Trump administration’s poverty-stricken track record on both fronts.

The Trump administration in February 2018 heightened vetting of H1-B visas, which has led to increased restrictions and rejections of visas and to preferential treatment for holders of advanced degrees from U.S. institutions. (It likewise revoked a guideline that designated “computer programmer” as a protected occupation under the H-1B program.) And the administration delayed implementation of the international entrepreneur rule, or startup visa, which would hold allowed exotic entrepreneurs to tarry in the U.S. to start a business.

Partly as a result of that and other policy decisions, the number of overseas graduate students in the U.S. fell 5.5 percent in 2017 (from 2016), according to the National Science Foundation. That’s discouraging for organizations fancy the Allen Institute for simulated Intelligence in Seattle, which recently revealed in a Wired editorial that nearly two-thirds of its research scientists hail from countries fancy Egypt, Germany, India, Iran, Israel, Japan, Korea, Norway, the U.K., Taiwan, and Vietnam.

The brain drain has been dramatic. Europe currently leads the world in scholarly output related to AI, according to a report by Elsevier, and China is expected to overtake the EU within the next four years, if current trends continue. India is currently third behind the U.S. and China, while Germany and Japan rank fifth and sixth worldwide in AI research paper output.

“In the name of Buying American and Hiring American [sic], this administration is threatening the intellectual heart of their society, and the consequences of these policies will reverberate throughout their economy,” Allen Institute CEO Oren Etzioni wrote this week. “Providing 10,000 novel visas for AI specialists, and more for experts in other issue fields, would revitalize their country’s research ecosystem, empower their country’s innovation economy, and ensure that the United States remains a world superpower in the coming decades.”

This is everyone to notify that the American AI Initiative, as currently proposed, appears poised to underdeliver. And absent a firm timeline for implementation, there’s no guarantee that even its modest proposals will advance to fruition in the foreseeable future.

For AI coverage, dispatch intelligence tips to Khari Johnson and Kyle Wiggers — and be positive to bookmark their AI Channel.

Thanks for reading,

Kyle WiggersAI Staff Writer

P.S. Please Enjoy this talk by Andreessen Horowitz operating confederate straightforward Chen about how AI and automation will augmented and enhance humans.

From VB

Jensen Huang, CEO of Nvidia, at CES 2019.

Nvidia’s $2.21 billion in Q4 revenue helps erase previous stock loss

Nvidia posted earnings that beat Wall Street’s reduced expectations for fourth fiscal quarter earnings for the term ended January 27.

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Beyond VB

Artificial Intelligence Has institute an Unknown ‘Ghost’ progenitor in The Human Genome

Nobody knows who she was, just that she was different: a teenage girl from over 50,000 years ago of such freakish uniqueness she looked to be a ‘hybrid’ progenitor to modern humans that scientists had never seen before. (via Science Alert)

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A.I. Shows engage Assisting Physicians

Each year, millions of Americans walk out of a doctor’s office with a misdiagnosis. Physicians try to be systematic when identifying illness and disease, but color creeps in. Alternatives are overlooked. (via novel York Times)

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NDP announces $100 million to champion Alberta’s simulated intelligence sector

The NDP government has announced plans to expend $100 million over five years to grow the simulated intelligence (AI) sector in Alberta. (via Calgary Herald)

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Google and Microsoft forewarn that AI might carry out mute things

It’s the not-so-far-away future in San Francisco. One-Wheels and e-scooters litter the road. Your self-driving car has just deposited you at Union Square, and you’ve instructed it to recrudesce in an hour, after you’ve purchased the latest it-smartphone, the iPhone Z. (via Wired)

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UX & Agile: Dream Team or Odd Couple? | killexams.com actual questions and Pass4sure dumps

Are UX specialists satisfied with their experiences in Agile projects? While participating in a recent panel discussion, I asked the audience this question and, judging from a present of hands, only about half were satisfied. These mixed reviews are consistent with what I’ve heard from UXers in various organizations over the past 10+ years and from what I’ve read in books fancy spare UX.

While UX staff sometimes adopt an “us vs. them” perspective, they should start from the position that both UX and Agile hold the very goal — to deliver considerable software that delights users. Problems can arise because each community has its own ideas about how to Get there. To succeed as a team, these communities exigency to establish common ground and construct some accommodations: UX staff exigency to ensure their practices are Agile-friendly and Agile staff exigency to construct some of their practices a miniature more UX-friendly. When UX and Agile harmonize their practices, they can convoke the result a Dream Team. And when they don’t, they can convoke the result an Odd couple team.

Let’s view what a dysfunctional, or Odd Couple, team looks like. Non-UX staff engage in practices such as:

  • keeping UX outside the core team (that is, “us” or “the team” is understood to embrace only developers),
  • doing a poverty-stricken job applying Agile best practices (for example, writing user stories that don’t effectively articulate the user value), and
  • failing to designate project resources (people, money, time) to UX activities fancy user research and design evaluation.
  • For their part, UX staff on an Odd couple team engage in practices such as:

  • working fragment time on multiple projects, rather than being dedicated to a solitary project,
  • taking a long time to bear intricate design artifacts to hand-off to developers, and
  • treating developers as “them” and not taking an interest in their work beyond UX.
  • This article identifies the topics where UX needs to find common ground with their Agile teammates to figure a Dream Team. We’ll examine collaboration challenges for each of these aspects of UX in turn:

  • Understanding users, that is, conducting user research
  • Large-scale UX design, that is, overall project design direction
  • Small-scale UX design, that is, design in an individual sprint story
  • Evaluating designs
  • UX leaders can expend these topics as a checklist to assess the health of their team and identify areas for improvement.

    Understanding users

    A tenant of UX is to develop a solid understanding of target users as a foundation for design. The quotes below illustrate the inequity between a Dream Team and an Odd couple project:

    The key topics where UX needs to find common ground with Agile are:

  • How much UX research is enough, in the context of limited project resources?
  • How should that UX research be aligned with the project schedule?
  • Generally, UX staff feel that more research is needed than project leaders do, so both parties exigency to find common ground on how much is enough.

    Given agreement to conduct research, the next point of discussion is how to schedule it vis-a-vis the agile sprint schedule. Models I’ve seen projects expend include:

  • Up front — before project kick-off (Sprint 0)
  • Concurrently with sprints, but outside the sprint schedule
  • Integrated into the sprint schedule
  • The models above are listed in increasing order of logistical difficulty.

    Large-scale UX design

    It’s useful to divide “design” into large-scale vs. small-scale aspects. Here “large scale” design refers to:

  • Project direction, UI architecture, and visionary design concepts
  • Sprint planning and content definition
  • For this aspect of UX, the inequity between success and failure looks fancy this:

    Success from a UX perspective means having a “seat at the table” as one character of project leader and having adequate opening to develop and present a vision of the UX to sheperd the project.

    Common topics of negotiation include:

  • What portion of sprint account content (i.e., project resources) will be devoted to delivering UX attribute vs. feature quantity?
  • How much is the project team willing to revisit (refine, iterate on) designs from early sprints?
  • How much of the UX team resource will be allocated to big scale design vs. keeping the Agile account teams supplied with circumstantial UX designs?
  • How willing is the team to start planning 2–3 sprints ahead so UX can Get a head-start?
  • Small-scale UX design

    Here “small-scale” design refers to design to champion individual sprint stories. One thing that UX staff notify they fancy about Agile is its fluid back-and-forth between design and coding, rather than a formal hand-off from a design stage to a coding stage. However, not everyone teams hold achieved this pattern state:

    Aspects that hold to be optimized include:

  • ensuring the user stories clearly articulate the problem being solved in terms material to UX,
  • getting developers engaged and collaborating in the UX design work prior to coding, and
  • getting developers being receptive to UX staff providing input and feedback during coding.
  • Evaluating designs

    Another tenant of the UX discipline is the importance of evaluating designs with users. As with the other aspects of UX, success varies:

    Aspects that hold to be ironed out between UX and the Agile project leads are:

  • In the context of limited project resources, how much design evaluation is enough?
  • What are the expectations for fixing issues?
  • The first challenge is simply getting the opening to conduct evaluations. Opportunities can be limited due to staff resources, schedule, or access to users. The second challenge is getting issues fixed. The larger the fix, the harder it is to Get it addressed.


    We’ve identified several friction points between the UX and Agile parties in a project team. The more that the UX and Agile staff succeed in finding common ground and making accommodations on these points, the better for everyone — including the users of your software.

    Further reading

    For more quotes and case studies, view my recent article UX in Agile projects: Taking stock after 12 years.

    For a practical book on this very general topic, view spare UX.

    For a deep dive on UX research, view the article Agile evolution Is No Excuse for Shoddy UX Research.

    For a recent scholarly treatment, view the edited book Integrating User-Centred Design in Agile Development.

    To improve your empathy with software developers, I recommend the book Team Geek: A Software Developer’s sheperd to Working Well with Others.

    Finally, if you’re looking for something completely different and you’re a history buff, you might fancy the novel The Siege by Ismail Kadare.

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