3 Ways Artificial Intelligence (AI) Services will Impact the Economy in 2020 and Beyond

1) Increasing efficiency and accuracy in our everyday work.

It’s tempting to believe that artificial intelligence services can do just about anything. If tech experts are to be believed, artificial intelligence (AI) has the potential to transform the world. Tech entrepreneur, Elon Musk, says this would be a threat to humanity and life as we know it.

Even though thinking among AI researchers has evolved over the years, the future impact of AI is strongly debated among experts.

Currently, AI and machine learning solutions power self-driving cars, complex ad-tech audience optimization, and a host of intelligent agents such as Alexa, Cortana and Siri. At the same time, leading AI experts, business owners, and analysts caution against an overly rosy view of its current capabilities.

The hype surrounding AI’s potential has misled many into overlooking its current utility. Eventually, AI will redefine industries and build technologies we never thought possible. However, business leaders and AI experts say the real value in today’s AI lies in increasing efficiency and accuracy in our everyday work.

2) Preparing for The Future – The Government’s Role

Artificial Intelligence (AI) Solutions holds the potential to be a major driver of economic growth and social progress. If industries, society, government, and the public work together to support development of this technology with thoughtful attention to its potential and managing its risks, then everyone will benefit.

The U.S. government has several roles to play. Participation in conversations about important issues is key; this is to help set the agenda for public debate. In fact, this initiate can monitor the safety and fairness of applications as they develop, and adapt regulatory frameworks to encourage innovation while protecting the public.

Another utility the government can provide is public policy tools to ensure that disruption in the methods of work enabled by AI increases productivity while avoiding negative economic consequences for certain sectors of the workforce. Not only this, but the government can support basic research and the application of AI to public good. One of those features is to support development of a skilled, diverse workforce.

Government can apply AI to serve the public faster, more effectively, and at a lower cost. Many areas of public policy, from education, to defense, to environmental preservation, and criminal justice, will see new opportunities and new challenges driven by the continued progress of AI.

To enable these policies, it’s crucial for the U.S. government to understand and adapt to these changes.

3) Economic and Social Morality

As the technology of AI continues to develop, practitioners must ensure that AI-enabled systems are governable. This is to ensure they are open, transparent, and understandable. In essence, AI must work effectively with people, so that their operation will remain consistent with human values and aspirations.

Researchers and practitioners have increased their attention to these challenges, and should continue to focus on them.

Developing and studying machine learning development services can help us better understand and appreciate our human intelligence. Used thoughtfully, AI can augment our intelligence and help us to chart a better and wiser path.

Charter Global offers AI resources to a variety of different types of projects. Consult us for expert help, and learn more about what we can do to achieve your AI goals.

Read More:

https://www.charterglobal.com/artificial-intelligence-impact/

https://www.charterglobal.com/ai-machine-learning/

Big Data capabilities are a vital aspect of identifying, assessing, and leveraging insight for competitive advantage – Charter Global

How do we overcome this obstacle, you ask? Start with acquiring a C-Level Sponsor who leads, commits and holds organizations accountable to a Big Data strategy. The three goals of the C-Level Sponsor are:

1. First, you have to have a plan. It takes a strategy to get you there.
2. Second, the plan must put together a proven set of formulas, approaches and methods to win. There is no way to luck into success. As my high school football coach used to say, “Luck is when preparation meets opportunity”.
3. Third, is to establish the strategy outcomes by answering the question, “Why are we doing this?” This answer should be quantified in business value creation dollars and remain the focus and measurement of the success of the strategy.

CEOs are being asked by the investor community and/or industry analysts to share their organization’s Big Data strategy. The investment community is wise to the fact that organizations that deploy and adopt Big Data and Predictive Analytics provide for long term stability and value gain to the shareholders. With the failure rate at approximately 70% for Big Data projects, it is important for the C-level Sponsor to mitigate risk and dollars in establishing a successful winning strategy. A winning strategy aligns executive, operational and IT goals into a single focus for significant value gain to the organization, shared responsibility and transparent accountability.

Seek outside help with an IT Consulting Partner who earns the trust of IT, Business & C-Level to help guide your organization through the strategy, process, methods and multiple POCs that are needed. There are many advantages for partnering with an outside trusted advisor:

1. They accelerate your organization’s adoption of proven methods and approaches that guarantee success.
2. There are politics in everything these days and Big Data has Big Politics attached internally with careers made and loss on such decisions; leverage an outsider to help manage through the status quo successfully because they have done it many times before.
3. Having a trusted voice that is vendor neutral and is concentrating specifically on your success. Assisting you in managing vendors and proving out their claims before investing millions of dollars.
4. Your team gets immediate access to critical key talent with a proven track record that you currently do not possess internally or cannot find.
5. A trusted advisor guides the building of a cross-functional team and helps create a common set of semantics for communication. Big Data problems are modeling problems, and the models you are trying to create are those of the entities on which you gather data. The dynamics of the data and the products that derive from them are so dynamic that the business and IT folks need to be part of the same discussion and accountable as a team.
6. Making the project successful, will require that the cross-functional team avoids any folks that are part of the old way of thinking; otherwise, the gap will persist and widen. A trusted advisor keeps a keen eye on the team and engages the C-level sponsor as needed to guide focus and outcome.
7. Most importantly, they keep the focus of Big Data directed on outcomes that support the business and valuable outcome.

Read More: https://www.charterglobal.com/big-data-more-than-a-numbers-game/

Software Application Development Services | Charter Global

Charter Global offers a full range of application development services to develop custom applications and enhancements for existing applications. Our team is experienced in strategy and project management. We can help you design, build, test and QA processes. Let us help manage implementation and seamless integration across the enterprise with focus on quality, timelines, and budgets.

We offer experienced resources development teams for a wide range of app development platforms to fit your vision and requirements. Charter Global is the leading App development company in USA & India.

1. Enterprise Application Development Services
2. Mobile Application Development Services
3. Web Application Development Services
4. Microsoft Azure Apps
5. AWS Apps
6. Cloud Based Application Services
7. UI/UX Designs
8. Quality Automation Apps
9. Native Mobile Apps
10. Microservices Architecture for App Development
11. Microsoft Dynamics 365 CRM

End-to-end Application Development Services:”

1. Assess: We evaluate your current platform requirements and recommend the best technologies for your business needs.

2. Design: Our onsite and offshore resources manage your app development project or augment your team to ensure project success.

3. Build: We apply proven Agile and CI processes that reduce cycle time and make the release process more reliable during app development.

4. Test: Experienced QA resources conduct manual and automated testing. We can speed up time to market for your app development by reducing testing time.

5. Implement & Integrate: We collaborate with you to deploy and migrate applications seamlessly with minimal downtime. See emerging trends in software development.

6. Support & Maintenance: As needed we provide 24/7 support for applications, systems, and databases.

For More Information, Please visit our website;

https://charterglobal.com/technology-solutions/application-development/

Understanding the nature of DevOps, its benefits, and 15 key tools | Charter Global

What is DevOps?

DevOps is a set of practices that automates the processes between software development services and IT teams, in order that they can build, test, and release software faster and more reliably – using the proper devops tools. This process acceleration enables organizations to better serve their customers and compete more effectively in the market. It has been proven to increase the speed, efficiency, and quality of software delivery. The goal of DevOps process is to change and improve the relationship by advocating better communication and collaboration between these two business units. In order to have effective DevOps practices, the proper tools must be identified. Outlined below is a basic description of how DevOps works, along with the top 15 tools used in the software development life cycle.

Benefits of DevOps:

DevOps enables continuous software delivery with less complex problems to fix and faster resolution of problems. DevOps tools are used to make a seamless platform for this continuous delivery. It has certainly helped organizations such as Etsy, Netflix, Facebook, Amazon, Twitter, and Google by improving their performance levels significantly.

1. Leverage cloud architecture to control costs
2. Reduced complexity and increased scalability
3. Development and operations teams share access and insight in the development cycle
4. Store and correlate data from different applications and devices
5. Provides a consistent environment from development to production
6. Cloud-based management tools (cloud computing) simplify access and analysis updated in real-time
7. Identify and diagnose issues quickly

Top 15 DevOps Tools:

1. Jenkins:

Jenkins is a DevOps tool for monitoring execution of repeated jobs. This extensible automation engine enables DevOps teams to integrate project changes more easily and access outputs for quickly identifying problems.

2. Chef:

Chef is a DevOps tools for achieving speed, scale, and consistency. Chef turns infrastructure into code so that users easily and quickly can adapt to changing business needs.

3. Puppet:

Puppet strives to build an environment where the software powering everything around us is always available, up-to-date, and accessible from anywhere.

4. SaltStack:

SaltStack is software for data-driven orchestration and configuration management at scale. This DevOps tools is the solution for intelligent orchestration for the software-defined data center.

5. Docker:

Docker is a tool that allows users to quickly assemble apps from components and work collaboratively. This open platform for distributed applications is appropriate for managing containers of an app as a single group and clustering an app’s containers to optimize resources and provide high availability.

6. Ansible:

Ansible is a DevOps tool for automating your entire application life cycle. Ansible is designed for collaboration and makes it much easier for DevOps teams to scale automation, manage complex deployments, and speed productivity.

7. Juju:

Juju is a python based orchestration tool developed by canonical. It has a great UI for orchestrating your applications in your cloud environments. You can also use their command line interface to do all the orchestration tasks. You can configure, deploy and scale applications using Juju.

8. Vagrant:

Vagrant is a great tool for configuring virtual machines for a development environment. Vagrant runs on top of VM solutions like VirtualBox, VMware, and Hyper-V etc. It uses a configuration file called Vagrantfile, which contains all the configurations needed for the VM.

Learn More: https://www.charterglobal.com/do-more-with-devops-top-15-devops-tools/

Charter Global offers a full range of technology services and solutions, including DevOps Services, microservices, and Continuous Delivery. Our Open Source Center of Excellence provides a foundation for continuous innovation.

User Experience and User Interface Defined | Charter Global

User Interface Development is defined as the development of websites, web applications, mobile applications, and software. The User Interface plays a key role in the software development life cycle [SDLC]. Most people assume UI development services is all about creating websites and writing HTML, CSS, and JavaScript, but user interface goes far beyond these technical terms. The goal of the user interface is to make the user’s interaction as simple and efficient as possible, in terms of accomplishing user goals.

Think about it this way: The user experiences only front end interactions, such as the look and feel of the website/application. More often than not, they don’t concern themselves with the back end – like app design, coding elements, or methodologies employed in content layout. What’s more, users need to feel engaged and at ease when they visit your website. That’s where UI engineers come into the picture – to fulfill this task.

Cultivating a User Interface can be divided into two phases in website or application or software development services:

1. Research + Design
2. Development

Research and Design:

Research and analysis are all about interviewing users & project stakeholders and gathering their input to create a requirements document that includes personas, user scenarios, user behavior, and user experience evaluation metrics. During this phase, it is also important to understand the target audience so as to better cultivate a user experience design.

Business analysts and a user experience team usually lead the research phase. Both teams collect all information and inputs from users and project stakeholders in order to discuss technical terms with developers and project managers. Lastly, they prepare final documentation.

With the help of documentation, UX teams start the design process. They first create the wire frames to bring a rough idea to the project stakeholders and users. Wireframes are presented as a comprehensive screen layout consisting of black and white sketches of every screen in the application. At this point, the visual and graphic design processes dictating the visual appeal have not yet begun.

Wire-frame Example:

Next, developers must focus on creating prototypes that will simulate the real application. A prototype can contain one or more features, but it actually does nothing. It merely simulates the behavior of a real application, and users can see color combinations and minimal functionality in real time. Wire frames/Sketches and Prototypes are done by UX designers.

Tools to create Wireframes and Prototypes:

• Balsamiq Mockups
• Axure
• Gliffy
• iPhone mockup
• InDesign
• Photoshop
• Fireworks
• Dream weaver

UX Designer Role and Responsibilities:

1. Strong conceptualization ability, strong visual communication ability, drawing skills and sketchbook technique.
2. Strong working knowledge of Photoshop, Illustrator, InDesign, Fireworks and associated design tools.
3. Strong working knowledge of HTML, CSS, JavaScript/JQuery.
4. Experience with user interface design patterns and standard UCD methodologies.
5. Excellent verbal and written communication skills, especially the ability to clearly articulate design decisions with stakeholders and development teams.
6. Understanding of common software development practices.
7. Solid understanding of user-centered design principles, careful attention to detail, and ability to grasp complex, nuanced product requirements.
8. Collaborating on user experience planning and researching interaction design trends.
9. Researching technology trends.

Note: Responsibilities would be based on company and project requirements.

Read More: A few examples of UI Developer technologies

Reference Links:

https://www.charterglobal.com/user-interface-development/

https://www.charterglobal.com/technology-solutions/application-development/

https://www.charterglobal.com/technology-solutions/mobile-apps/

Understanding the Difference Between Machine Learning vs. Artificial Intelligence | Charter Global

Machine Learning Development Service

ML is technically a subset of AI. Essentially, ML provides systems the ability to automatically learn and improve from experience without being explicitly programmed; focusing on the development of computer programs that can access data and use it learn for themselves.

In other words, Machine Learning Development Service relies on processing big datasets, while detecting trends and patterns within that data and essentially “learning” about these trends along the way.

Like people, machines have the ability to “learn,” acquiring knowledge and/or skills through their unique experiences. For example, say you have an ML program with lots of images of skin conditions, along with what those conditions mean.

The machine learning algorithm examines the images and identifies patterns, allowing it to analyze and predict skin conditions in the future.

When the machine learning algorithm is given a new, unknown skin image, it will compare the pattern in the current image to the pattern it learned from analyzing past images. In the instance of a new skin condition, however, or if an existing pattern of skin conditions changes, the algorithm will not predict those conditions correctly.

This is because one must feed in all the new data so that the algorithm can continue to predict skin conditions accurately.

Artificial Intelligence (AI)

Unlike machine learning services, AI learns by acquiring and then applying knowledge. The goal of AI is to find the most optimal solution possible, by training computers a response mechanism equal to or better than that of a human being.

In the instance of adaptation in new scenarios, Artificial Intelligence services is perhaps the most ideal.

Let’s take a simple video game, for example, where the goal is to move through a minefield using a self-driving car. Initially, the car does not know which path to take in order to avoid the landmines.

After enough simulated runs, large amounts of data are generated concluding which path works and which paths do not. When we feed this data to the machine learning algorithm, it is able to learn from the past driving experience and navigate the car safely.

But, what if the location of the landmines has changed? The machine learning algorithm does not know these individual landmines exist, rather, it only exclusively knows the all it knows the pattern resulting from the initial data.

Unless we feed the algorithm the new data so it can continue learning, it will continue to guide along that (now incorrect) path.

Enter, AI – capable of analyzing new data in an algorithm to determine multiple factors; answering questions like, why did the paths change? Which direction is most ideal, given the new circumstances, and where are the new hot-spots? It will then codify rules of those hot-spots where the land mines exist.

Slowly, AI will begin to avoid them altogether by following the new trails – just like people, learning and adapting to new boundaries and environmental challenges.

The Future is Now with AI and ML

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence services uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

For More Information, Please visit our website:

https://charterglobal.com/technology-solutions/machine-learning/

Reasons Why Mobile Apps Fail | Charter Global

The speed at which the mobile industry is growing is consistent with the speed of apps proliferation. New apps are added to app stores almost daily, where they compete for user attention. Among other reasons, the increased competition has also increased the chances of failure. When apps fail, money, time and other resources are lost, therefore no app developer wants a failed app. Knowing the causes of app failures will help to avoid these pitfalls in order to ensure success. Because of this, all factors must be put into consideration to understand the reasons why mobile apps fail from the business, development, user, and marketing aspects.

Business Reasons for Mobile App Failure

Building a custom mobile app development company that will succeed requires a solid business strategy. Without a good strategic plan, there could be a delay in the development process or with a poor-quality product being built. In addition, when the strategy does not take users into account, user-related issues may come back up that could have been avoided from the start. Other developers get distracted from their initial strategy by trying to over-perform, hence leading to a disaster. A great tip towards mobile app strategy is to thoroughly evaluate the reasons for building the app and how to best provide value with it.

Another business mistake some developers make is blowing the budget. In order to prepare the budget, thorough evaluations and careful estimates of the time and resource requirements to build a great product must be made.

Development Reasons for Mobile App Failure

It’s frustrating for users when an app performs slowly, reports lots of errors, crashes often, or functions abnormally. In turn, those users may leave negative reviews, impacting future sales and downloads. The developer wouldn’t have these issues if the following problems were taken care of:

Device compatibility: It is always very important to check apps for compatibility with operating systems, and carrier networks and devices. Every mobile platform has its own individual interface guidelines and operates in unique ways.

Quality assurance: Do not launch the app without QA automatic testing. If an app is not tested properly, the user experience will be ruined with bugs.

User Reasons why Apps Fail

A study showed that 80% of users try a problematic app 3 times or less before deleting it (and of course leaving bad feedback). A crashing or freezing app can be frustrating. Who would stick to a non/slow-performing app when there are better options out there?

Every mobile app must offer a compelling user experience to be deemed successful. Take major note of the user design, not forgetting load time and available features. A major focus must be placed on UX/UI best practices.

Secondly, an over-complicated app is not needed! Keep it simple. Users are much more comfortable with simple elegant app designs. Businesses trying to create an all-in-one app that solve every problem will end up with an app that’s only good for the trash can.

Marketing Reasons why Mobile Apps Fail

In this age of unlimited apps, marketing is crucial to the success of an app. Therefore, current marketing trends must be known for a great mobile app marketing strategy to succeed. Here is a list of marketing mistakes developers make:

1. Weak or no marketing
2. Poor market research
3. Neglecting the competition
4. Ignoring customer feedback and engagement

Always put these factors in perspective for a successful application launch. This will help to prevent/remedy any mistakes that could make a failed app.

Contact Us

A lot of thought is required when developing a mobile app. Let Charter Global help by providing your enterprise a full-service mobile app development. Contact us today.