ITQuo ITQuo provides Big Data Consulting & Training. Our labs enable you to go Zero to Live in 40 hours or less. Join us kickstart your big data career.

ITQuo will provide training, consulting and strategic staffing to Big Data Customers. Our lab has developed one of its training platform which will enable you to not just learn Big Data Ecosystem, but help you troubleshoot issue with our experts. We have strong foundation in training, consulting and advisory services. Our founding team has collectively developed products for Nasdaq, ADP, General A

tlantic, Bank of West, Express Clothing, Bank of America etc. We have redefined the approach to get started in big data. We looked at various roadblocks in consulting and defined the process to overcome that, some of them include training, support, troubleshooting. We help you over come those factors and get started with your career in this field.

01/02/2019

TECH WILL CONTINUE TO LEAD THE WAY IN 2019:

While job growth will not be limited to the tech industry in 2019, the proliferation and adoption of technology across all sectors of the economy means that tech jobs will continue to boom. The highest demand job areas in 2019 will be:

Cloud computing
Artificial intelligence
Big data
Cyber security
Virtual / augmented reality
Digital marketing

We expect that jobs related to cloud computing and artificial intelligence (A.I.) will see the largest growth in the coming year. Cloud computing has become an incredibly lucrative pillar of the modern economy and an area of intense focus for the world’s tech giants. Over the next year, cloud computing software developers will be in high demand as Amazon Web Services, Azure, Google Cloud, as well as others will continue to ramp up and expand their cloud computing services to even more industries.

Learn Machine Learning and Artificial Intelligence at ITQuo. Its 2017 and As we see it, AI and ML would grow big in cons...
01/08/2017

Learn Machine Learning and Artificial Intelligence at ITQuo. Its 2017 and As we see it, AI and ML would grow big in consulting space as well. Thats why we are providing free training to those you are intrested in learning and growing together.
AI is a collection of multiple technologies that enable machines to sense, comprehend and act—and learn, either on their own or to augment human activities.

Compelling data reveal a discouraging truth about growth today. There has been a marked decline in the ability of traditional levers of production—capital investment and labor—to propel economic growth.

Yet, the numbers tell only part of the story. Artificial intelligence (AI) is a new factor of production and has the potential to introduce new sources of growth, changing how work is done and reinforcing the role of people to drive growth in business.

As per Accenture research on the impact of AI in 12 developed economies reveals that AI could double annual economic growth rates in 2035 by changing the nature of work and creating a new relationship between man and machine. The impact of AI technologies on business is projected to increase labor productivity by up to 40 percent and enable people to make more efficient use of their time.

Want to be part of it. Reach us via Direct Message.

ITQuo Case Study : Development team responsible for digital supply chain metadata services for a Media Company was getti...
12/19/2016

ITQuo Case Study : Development team responsible for digital supply chain metadata services for a Media Company was getting a bad reputation. The team was producing only two new pieces of software functionality per month and concerns arose about their quality of the code. Additionally, deployment of new functionality was a manual process, took two weeks and carried numerous business risks.

The problem wasn’t that the team wasn’t working hard; it was that they weren’t working together in an agile fashion. Team members worked alone in cubicles and rarely collaborated with each other or stakeholders.

Knowing current development practices had to change, the team’s product owner decided to overhaul their processes and invest in agile software development. The Media Company contacted ITQuo; Well known for helping enterprises increase their ability to efficiently drive business outcomes through agile software development, they chose ITQuo to help get the team on track.

The first order of business was breaking silos that existed between the team’s developers, engineers and stakeholders. To facilitate this, ITQuo held a number of agile training workshops. By the end of the training, everyone had a solid understanding of agile practices, test-driven development and understood ways for product owners and other stakeholders to get involved in the development process earlier.

The team – which had stakeholders distributed across two continents – didn’t have a lot of experience with extreme programming (XP) practices like pairing and continuous integration. Coaches and development mentors from ITQuo worked alongside the team four days per week for about nine months, with an ITQuo's DevOps practice mentor paired remotely to help the team improve delivery operations.

Initially, the team’s throughput actually decreased with the new process changes, but this was a small cost of doing things the right way: the team was learning and practicing test-driven development, continuous integration and deployment, behavior-driven development, pairing, making work visible, limiting work in progress, and applying a “whole-team” approach to their operations.

No longer did business analysts, developers and system engineers perform work in their own bubbles. Everyone was working together to build better quality services and a much more reliable delivery framework.

Ultimately putting in all the hard work began to pay off: the team was being recognized across the organization for their repeatable and automated deployment pipeline (“infrastructure as code”) and for their automated test suite. Their throughput increased so significantly that upstream and downstream stakeholders actually began complaining that their delivery was either putting themselves into compliance risk or was making them look bad.

With the added bandwidth created by the team’s efficient development processes and by consistently clearing their backlog of work, they’ve been able to proactively reach out to strategic planning groups within the company to focus on more high-value opportunities. Historically, the team spent about half of their time maintaining the codebase and making poorly educated estimates, which did not drive business value and reduced trust amongst their stakeholders. Now they are investing in high-value business opportunities and using forecasting processes that drive value and build trust.

As our engagement wound down, the team was producing better quality code more reliably than other development teams within the organization that were more experienced in agile delivery. Our mentors and coaches began alternating weeks between being onsite with the team and remotely pairing from our offices in St. Louis. When we were confident the development team could function on their own, mentors and coaches eventually rolled off the project.

With the team’s process improvements came a boost in confidence and morale within the team, and stakeholders are happier than ever.

The completion, deployment, and delivery of new features is now so common and expected, it’s become a non-event. In fact, the broader development organization points to the team as the model of consistent, quality and value-added software development. By investing in doing things the right way, the team is now able to consistently and predictably create value for the company.

08/02/2015
08/02/2015
08/02/2015

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