Choosing your cloud provider or cloud providers can be a daunting experience. It is easy to become distracted if you do not decide on a plan for how to approach your decision-making.


When it comes to enterprise IT, many departments approach their decision-making from a tactical perspective looking at what capabilities and functionality support the strategic vision and direction of the company currently and When it comes to enterprise IT, many departments approach their decision-making from a tactical perspective looking at what capabilities and functionality support the strategic vision and direction of the company currently and in the future. This may mean looking at cloud providers that have data centers located around the globe if disaster recovery and business continuity are a primary concern. In other cases, an enterprise may approach its decision-making based more on features. These features are things like what cloud provider excels in, such as machine-learning, because it supports an enterprise’s capabilities and aligns with their vision of what the enterprise believes will be valuable. Most IT architects think strategically and consider criteria such as data storage capacity, company viability, market share, and computing capability. In general, most enterprises should approach choosing cloud providers strategically and tactically because it isn’t just about features. It is about much, much more, and whatever provider or providers you decide to work with, your internal IT will need to change skill sets. Everything will need to adapt to a new platform. The one thing you need to avoid is falling in love with specific features. Features have a way of casting a spell on us and distracting us from looking at things strategically and tactically.

Service Levels

If your enterprise has sensitive or critical needs around availability, capacity, response time, and support, you need to understand what your cloud provider Service level agreements are. You will also want to draft a contract that establishes and defines the cloud provider and cloud service customer relationship you are entering into. The contract should be written with clear contractual language and include SLA’s for all vital enterprise needs, including data security.

Evaluation Criteria

A strategic and tactical approach to cloud migration includes focusing on several core areas and how they integrate with your existing business and existing legacy architecture.

Architecture

It is essential to consider how the cloud architecture will integrate and support your existing workflows presently and in the future. If your current infrastructure and workflows already depend on a lot of Google services, then Google may provide better, easier integration. Still, if your enterprise has invested in Microsoft Universe, for example, then Microsoft may be the better provider.

Security

When selecting cloud providers or multiple providers, you should carefully consider where the provider data centers are located. If your organization utilizes highly sensitive applications, you may want at least one data center close to where your users are from a user’s perspective. For resiliency and disaster recovery, you will want a provider that has geographically diverse data centers that are not run off of the same electrical grid. There is yet another security consideration, and that is that if your company is global, you also need to consider where your provider hosts data because there are rules and regulations around data that are specific to a country.

Management

Another important criterion in choosing a cloud provider understands what your organization will have to manage. Every service utilizes different orchestration tools and provides various integrations with other services. If there are certain services your organization requires or are vital to your operations, you need to ensure that your provider offers an easy way to integrate with those services. You will also want to take a close look at how much time, effort, and money it is going to take to manage the different aspects of the cloud infrastructure you select.

Compliance

Some industry sectors are highly regulated and require strict compliance with specific standards and regulations like medical and financial organizations. You must understand what you will need if your applications run on a public cloud infrastructure. It is essential to be aware of what responsibilities in terms of data security and compliance are the responsibilities of your organization and which obligations your cloud provider will fulfill to ensure your applications remain compliant once migrated to the cloud.


With a tactical and strategic approach to choosing your cloud provider coupled with sound business research about your cloud provider candidates and the services they provide. You should be able to make a sound decision that will serve your enterprise well into the future.

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Aug 6 21
Christina Zumwalt
How Cloud Computing Can Enhance Your Enterprise Collaboration

The cloud is a great way to enhance your workplace collaboration. The cloud has brought benefits to how we share and store data, and that, in turn, is allowing businesses to connect and work more efficiently and productively. Here are five of the most important benefits of collaborating in the cloud.

Higher Engagement Levels

Have you had difficulty assembling project members for meetings? With cloud collaboration, you can allow access to projects, leading to increased employee participation because employees can access the information from any place at any time. Cloud collaboration allows every participant and an equal opportunity to provide input and feedback, which generally means greater engagement and participation.

Improved Organization and Real-Time Updates

With cloud data storage, your files and documents are all kept in a central, cloud-accessible location. This means an employee can work on a document without having to send updated versions. Updates and edits are immediate and appear in real-time. This eliminates the problem of version control and the pain of multiple documents being passed around. It reduces errors and eliminates confusion over which version is the latest.

Improved Access to Large Files

A lot of enterprises utilize large audio and video files. Normally. Email servers cannot handle large documents. Enter the cloud. With cloud computing solutions for file storage and access, you can eliminate the need to send documents using email. You can assure that anyone needing access to large files gets it in the cloud. No more waiting for large files. Immediate access means greater productivity and faster response. Without the need for email, there will be no more delay in distributing or receiving these larger documents.

Better Brainstorming

Because the cloud makes collaborating so easy, it can also be used as a forum for exchanging ideas or brainstorming. It is the perfect place for conversations and brainstorming to happen. It facilitates better communication between all collaborators.

How To Make the Most Out of Cloud Collaboration

There are a few helpful hints that can help you get the most out of Cloud Collaboration.

  • One of the most important things is to keep your team organized. Ensure all of your team members are informed about what is going on and how cloud collaboration will work. There is nothing more important than ensuring your team members are on the same page.
  • Remember to delegate tasks and do not try to handle everything yourself. Set up clear expectations and deadlines.
  • Utilize a single application and process for your cloud computing communications. This enables you to track discussions more easily and invite participants as well as document the progress made on your project.

Cloud computing collaboration can improve the quality of work your organization produces while increasing productivity and reducing the overall time it takes to complete a project. With good management processes in place, cloud collaboration can also enhance your efficiency and reduce costs and errors.

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Jul 23 21
Christina Zumwalt
What’s the Deal with Data?

Data is the lifeblood of cloud computing. Now it is no longer enough to have a data warehouse. Your business also needs a data lake. As cloud capabilities and digital transformation continue to expand and infiltrate our lives, it can be helpful to understand the different types of data and how the data is being used in the world of cloud and edge computing.

Big Data

We hear the term big data often. But what exactly is it? Big data is usually defined as large, diverse datasets that do not fit into a standardized relational database for processing and analysis. Both human and machine processes create the data.

Rob Thomas, general manager for IBM Analytics provides the following explanation of big data.

“While definitions of ‘big data’ may differ slightly, at the root of each are very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources and in different volumes, from terabytes to zettabytes. It’s about datasets so large and diverse that it’s difficult, if not impossible, for traditional relational databases to capture, manage, and process them with low-latency.”  He hypothesizes that big data is a a really big deal because data is the fuel needed for machine learning and machine learning makes is responsible for creating the blocks we use to build artificial intelligence.  

Machine Data

Machine data can best be described as the digital dust particles left behind by the systems, technologies, and infrastructure that power modern businesses.

Think back on a typical day in your life. You get up and drive to the office in your connected car. You use your key card to gain entry to your place of business, then you log on to your computer, make a few phone calls, respond to the emails in your inbox, and access several applications. Every interaction with a machine and every activity you perform creates a wealth of machine data in various formats.

Machine data includes data from a broad array of different sources. It is extremely valuable because it contains an accurate time record of all the activity and behavior of applications, servers, networks, customers, users, transactions, and mobile devices.

When machine data is available and provided in a format an organization can use, it can help them troubleshoot problems, identify security threats and use machine learning to predict future trends and issues.

Structured, Unstructured, and Semi-Structured Data

How do we determine what data is structured and what data is unstructured? We classify data as structured or unstructured by whether the data has a pre-defined data model and whether it’s organized in a pre-defined way. Unstructured data, therefore, does not have any recognizable structure. It is raw data. This raw data can be textual or non-textual and include dates, numbers, and facts. There is a category of data referred to as loosely structured data. This is when data sources include a structure, but not all of the data set follows the same format.

Dark Data

Businesses are constantly collecting data and information assets. When the data and information assets are set aside and not utilized apart from being processed and stored this type of data is referred to as dark data. 

Real Time Data

Real-time data refers to computing that happens about as fast as a human being is capable of perceiving. Basically, it means data is available immediately without waiting. Real-time data is important because technologies such as edge computing, smart technologies, and 5G rely on instantaneous data.

Real-time data is essential for smart technology-specifically smart cities where real-time data is used with everything from dispatching emergency resources in a road crash to traffic control. Real time data also provides a better link between consumers and businesses. It allows companies to offer their customers the most relevant products and services at exact moments based upon location and preferences. We are only beginning to realize the power of real-time data in our daily lives.

Data is driving the evolution of cloud computing and more. It truly is the engine behind the machines.

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Jul 16 21
Christina Zumwalt
How the Cloud Helps Optimize the Customer Journey

The fact of the matter is that customer expectations have never been higher. The stakes for enterprises are enormous. Business depends on customers, and their experience with a company determines whether they buy again or seek a better experience online or in a bricks-and-mortar shop. Good service is paramount. With the high global spending on cloud infrastructure, one of the ways to recoup those investment dollars is to ensure your cloud infrastructure has the capability to optimize your customer’s experience, which in turn will benefit your business.

So, where can you begin to optimize your customer experience with your cloud infrastructure? One area to focus in on is cloud-based services that help automate processes for your customers. Customers today expect a seamless shopping experience. They expect their favorite brands to know exactly what they want, what they need, how they shop, excellent, fast, and efficient customer service both online or in a store.

Some of the many benefits cloud services can deliver include:

  • Syncing up your inventory both online and in physical stores
  • The ability for in-store clerks to check inventory in real-time using mobile devices
  • Real-time pricing that can be automatically increased or decreased to match demand
  • Personalized emails based on shopper preferences and buying habits

Predictive Analytics

One of the things that matter most to businesses today is human connections. Companies are searching for more ways to connect with their customers as individuals because when one can personalize an experience to the individual, the experience will be more relevant, driving more revenue opportunities. The cloud can provide predictive analytic capabilities that allow your business the harness the power of profitable customer acquisition strategies based on retention data. All that data on customer engagement helps companies and brands to truly understand what their customers are interested in and what the individual intent really is. Predictive analytics allows brands to be proactive in their engagement with their customers. Brands can identify where the individual is in their customer journey and optimize the content the customer sees, time content to correspond to where they are in their journey, and deliver the content by the individual’s preferred marketing channel.

Encouraging Brand Loyalty

Loyalty programs are very popular with consumers, and the cloud enables the users of loyalty programs to access various platforms all the time. Cloud-based identity management loyalty program members can log into a single platform at any location and any time to redeem miles, book flights, and much more. Making their experience efficient and easy.

Resource Planning Breaks Down Boundaries

With the ability to move enterprise resource planning into the cloud, it opened the doors to visualize and see what is happening at every point of your supply chain. Enterprises can pass on that value to consumers from marketing all the way through fulfillment, allowing for the development of new business models that cater even more closely to the individual needs and demands of your customers.

Finally, cloud-based services provide agility and support enhanced collaboration meaning app development occurs much faster, and customer demands can be addressed more quickly than ever, helping retain customers.

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Jul 14 21
Christina Zumwalt
Cloud Computing In Simple Terms

Although you may not realize it, most people use cloud computing in one way or another every day. Using an online service to send an email, edit documents, play games, store pictures, watch movies and TV, or listen to music utilizes the cloud. The first cloud computing services are a decade or so old, and companies from tiny startups to global corporations, government agencies to non-profits are embracing the technology for a variety of different reasons, including; Creating new apps and services, storing, backing up, and recovering data, hosting websites and blogs, streaming audio and video, delivering software on demand and analyzing data for patterns and making predictions. Before making a move to the cloud, companies should understand the nuts and bolts of how cloud computing works, what benefits it can deliver, and the costs to run in the cloud.

What Is Cloud Computing?

Cloud computing services work a little differently, based on who the provider is. Most provide a user-friendly, browser-based dashboard that makes it easy for technology professionals and developers to add resources and manage their accounts. Some cloud services are also designed to work with REST APIs and a command-line Cloud computing services work a little differently, based on who the provider is. Most provide a user-friendly, browser-based dashboard that makes it easy for technology professionals and developers to add resources and manage their accounts. Some cloud services are also designed to work with REST APIs and a command-line interface (CLI), giving developers multiple options. Simply put, cloud computing is an arrangement between a provider and a customer that allows customer access to a server that remains under the provider’s control. Typically there is a recurring or monthly fee for these services. The customer can use the server in a variety of ways, including as hardware on which programs run or store data. Using a server in this way is often referred to as IaaS. Others use the server as a platform on which to develop their own software (PaaS), and others use the server as a portal that accesses a service such as a payment portal for a customer or to process the customer’s data (SaaS).

Benefits of Cloud Computing

Cloud computing can significantly reduce the investments an enterprise needs to make in hardware and software and eliminate the need for on-site data centers and IT staff to manage the infrastructure, reducing utility, labor, and overhead costs.

Cloud computing eliminates the need for ongoing IT tasks such as “racking and stacking,” setting up hardware, and patching software. It makes your organization more productive and enables your IT personnel to focus on more important business goals.

Cloud computing provides an enterprise elastic scalability to meet the ever-changing IT requirements of your enterprise. You will always have the right amount of IT resources available for storage, computing power, and bandwidth, whether your business is seasonal or steady.

The bigger cloud computing services run on a global network of secure data centers. In addition, they are regularly upgraded to the latest generation of the fastest and most efficient computing hardware. This means improved performance, reduced latency, and the benefit of economies of scale.

Cloud computing makes business continuity and disaster recovery easier and less costly because data is mirrored to redundant sites on the cloud provider’s global network.

Since cloud computing services are self-serve and on-demand, you can provision vast amounts of computing resources on the fly-in minutes — no more worries over capacity planning.

Cloud Types

Cloud computing services are defined by three categories: IaaS-The rental of IT infrastructure that includes servers, virtual machines, networks, operating systems, and data storage from a cloud provider on a pay-as-you-go basis.

PaaS– This includes cloud computing services that provide an on-demand environment that developers can utilize to develop, test, deliver, and manage software applications.

SaaS– cloud computing that provides a way to deliver software applications over the internet on-demand. Normally these cloud services are on a subscription basis. The provider hosts and manages the software application and the underlying infrastructure, including maintenance, upgrades, and software patches. Users will connect to the application using an internet browser.

Cloud Computing Deployments

Cloud computing can be deployed in different ways, and it is crucial to understand how the different deployments work in order to choose the right type or combination of cloud deployments that best fit your organizational needs.

Public Cloud

A cloud owned and operated by a third party provider. Computing resources, including servers and storage, are delivered over the internet. All of the components of the system, such as hardware, software, and any other supporting infrastructure are owned and managed by the third party cloud provider.

Private Cloud

Cloud resources that a single business or organization uses exclusively. The cloud can be physically located on a comA cloud owned and operated by a third-party provider. Computing resources, including servers and storage, are delivered over the internet. All of the components of the system, such as hardware, software, and any other supporting infrastructure, are owned and managed by the third-party cloud provider.

Hybrid Cloud

A hybrid cA hybrid cloud combines public and private clouds. The clouds are bound together by technology that allows data and applications to be shared. A hybrid cloud normally involves a firewall to enhance data security and applications moving between the two clouds. This is the best choice for many businesses because the private cloud better protects sensitive data, and it offers greater flexibility and more deployment options.

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Jun 25 21
Christina Zumwalt
Artificial Intelligence, Machine Learning, And Conversational Interfaces

Artificial Intelligence, machine learning, and conversational interfaces are all affecting the way web design happens. It was a website development and design system that was powered by artificial intelligence. The idea was a platform where site modules and other interaction patterns design themselves without the need of a designer. Conversational interfaces would engage the user to supply information and make decisions about the design of the website is created, but the results did not live up to the hype. The resulting sites were a disaster. The good news in the accident? Designer jobs will remain safe for the foreseeable future.

Smarter Design Systems

Design systems are a series of patterns, modules, and elements that, taken together, build the design language of a brand or a product. Start-ups and enterprises alike trust their design systems to keep their products consistent for users. Adding a layer of intelligence to these systems to analyze how users interact with each element will help identify which parts work best for each function. With AI and machine learning, these intelligence layers learn and determine what things are working and what aren’t. It will help to optimize design systems to deliver better results. Some web design companies are doing precisely that. Squarespace and Wix embed AI into their workflows to guide designers on more mundane design decisions. We can expect to see more AI-driven tools embedded within design processes.

Creativity versus Task Automation

Design is more complicated than other jobs that are task-driven and repetitive. These repetitive types of jobs are the ones that are most likely to be replaced by robots. As for design, it requires the ability to assess information within different contexts, to establish a framework for design, as well as an empathy for other users. Robots are not sophisticated enough at this time to successfully perform jobs that require that kind of perspective, insight, and creativity. In the future, they will be well suited to automating repetitive tasks and making designers more efficient.

What we will see in the next several years

We can expect to see designers and robots working together to create all sorts of new opportunities. One area where robots could benefit designers is automating specific tasks like cropping assets, color correcting photos, and resizing images. AI is perfect for automating many of these tedious, repetitive tasks associated with a designer’s role.

Everyone Will Become A Designer

Most design jobs today are defined by creative and social intelligence. The skill sets associated with these job titles require problem framing, creative problem solving, empathy, negotiation skills, and persuasion. One of the most significant expected impacts of AI will be to make everyone a designer. There will be a push for all individuals to increase their employability by developing their creativity and social intelligence skills. These skills will no longer be limited to designers only. Instead of just training traditional creative occupations in design thinking techniques, all rules will be trained to use the skills traditionally reserved for design and original positions. Designers will need to have additional knowledge and expertise. Expertise should be in the fields of multidisciplinary contexts that will bring that extra value to the job roles that companies look to employ. In turn, it could lead to exotic specializations. There are already examples of this trend. The Seattle mayor’s office has created an innovation team tasked with finding solutions to some of Seattle’s most immediate issues and concerns. The group includes designers and design strategists and embraces human-centered design as a philosophy to guide their work. A new integrated design and management program at MIT is yet another example of this trend. Even medical schools are beginning to train future physicians in design thinking. Design is taking on a much broader role and significance in work processes as well as opening up new opportunities for educators across different disciplines to include creative intelligence training and human-centered design as part of their courses and curricula.

Alto9 is a Cloud solutions firm created to help customers migrate to, and make the most of Amazon Web Services. Cloud computing is a rapidly changing paradigm that requires a specialized focus, and our Amazon Certified engineers have the depth of experience and know-how to make sure your Cloud infrastructure runs efficiently, securely, and scales with you as your business grows.

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Jun 22 21
Christina Zumwalt

Over the last year, there were dramatic shifts in technology due to a global pandemic that shut down the world. 2020 became a year of shifting things from working in offices and other types of buildings to working virtually accessing all technology from the comfort of your own dwellings. Some of the most significant changes over 2020 included edge AI, 5G, and automated artificial intelligence, and the momentum for next-gen talent management and technology supporting sustainability. Some of the top trends set to have a significant impact on 2021 include AI on the edge, 5G ushering in Industry 4.0, automated AI helping to power the financial industry, and cognitive science and gamification helping to win the war for talent. Here are a few of the leading technology trends for 2021.


AI in Finance


There is expected to be an 86% increase in AI investments by 2025 by The Economist Intelligence Unit. For AI to be used to its full potential, employees with little to no background would need to be able to use it to increase their operational performance. Due to there being employees involved that do not know what AI is, there needs to be AI platforms that will allow business employees to quickly build models, easily understand and trust the product’s output, and make decisions with confidence. All these features are critical in the development of AI on a bigger scale.


Cybersecurity


The increase of more people working remotely has created a huge opportunity for cybercriminals to increase the number of attacks. One of the easiest ways cybercriminals are hacking is through compromising a company’s active directory infrastructure. After hacking the active directory, the criminal could take over a CEO’s phone, usurp their identity, and access confidential internal information. Alsid, a cybersecurity start-up, suggested that clients tailor security into their AD and invest in monitoring to be able to detect attacks in real-time and then investigate all breaches.


Healthcare Data Gold

There is expected to be a market for healthcare big data reaching nearly $70 billion by 2025, which is almost six times the 2016 value of $11.5 billion. This acceleration of health data being collected can help leverage opportunities for groundbreaking digital capabilities, such as AI, that can help improve patients’ treatment. An application developed using AI has led to a substantial decrease in cutting healing times from years to months and the unnecessary use of antibiotics in wounds that have been classified as hard-to-heal.
2020 helped to jump-start new technology trends, and it should improve greatly in 2021. There are going to be a ton of new trends that will change technology as we know it.

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Jun 14 21
Christina Zumwalt

Quantum computing is the quantum theory, where traditional laws of physics do not apply and involve the use of atomic and subatomic particles. The exciting thing about these particles is that they behave in unexpected ways. These particles can exist in multiple states at the same time. That is the underlying power that quantum computing will harness. Instead of using the traditional bits that classical computing utilizes, quantum computing will use qubits of quantum bits. What is the difference? It is easiest to think about this with an image. If you have a globe or sphere, a bit can exist at one of the two poles of the field. A qubit, on the other hand, can exist at any point on the sphere. The result of this is that a quantum computer using qubits will be able to store and process enormous amounts of data and information a million or more times faster using less energy than a classical computer.

This research represents the most recent step towards the development of a quantum computer. A quantum computer can be defined as an ultra-powerful machine that could solve problems currently beyond the realm of traditional networks. For example, your desktop PC would struggle to answer the following question: “If a salesman has lots of places to visit, what is the quickest route?” Traditional computing can answer this question for a certain number of cities, but if I wanted to add more cities, it would get much harder, very quickly. Light is already used to transmit data very fast over long distances via fiber optic cables. With this discovery, it may be possible to manipulate these photons and enable data distribution in much more powerful ways. The research team is now trying to manipulate photons in ways beyond attraction. The next test will be repulsion, where they slam photons into each other and scatter. These researchers are exploring uncharted territory. They do not know what will happen with distaste. It may be that they form a regular pattern, like a crystal of light, or something different may happen.

The impacts of quantum computing will undoubtedly change our world because there will be applications for this technology in every industry. It is safe to assume quantum computing will open the door to some extraordinary possibilities when you consider qubits can process millions of calculations all in the exact moment. The impacts will be game-changing across industries.

The race is on to bring quantum computing to commercial scale, and the cloud will play a large role in how that happens. It will forever change how we think and interact with data and bring significant changes to how we do business. It is an incredibly exciting development. AWS, like IBM and Rigetti, also have their quantum computing cloud called QC2 that features the first production-ready quantum computer. AWS invites you to try it to solve certain types of math and logic problems at a speed that will take your breath away. The future is here.

It’s difficult to predict how quantum computing will change our world, but what we do know is that it will be a game-changer for every industry you can imagine. It will significantly impact the way we do business, from inventing new medicine and materials, safeguarding our data, exploring space, and predicting weather events and climate change. Not surprisingly, some of the world’s most influential companies like IBM and Google and world governments are investing in quantum computing technology. They are expecting quantum computing to change our society because it will allow us to solve problems and reach levels of efficiencies that aren’t possible today.

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Jun 8 21
Christina Zumwalt

Content management systems are more and more important. They need open and nimble platforms to engage with their customers and stakeholders in more relevant ways to stay competitive and exceed customer expectations.

Companies are highly aware of the need to support personalized content experiences that are truly engaging, but most IT operating models were designed to optimize back-office efficiency. With the evolution of the cloud and improvements in security, the cloud is now the perfect solution for content management.

There is no industry or job where content or documents are not used. Many believe knowledged workers are the primary individuals who create and consume content, but the reality is everyone uses documents in some form. Employees in all classes need access to manuals and guides, whether they are physical paper or digital formats.

Enterprise content management is a term that employees in technical, security, and information management-focused roles use. Content can be in the form of a document or digital form shared via a collaborative workspace. Content of all types drives many of our critical business activities. Content is the primary means for communication, collaboration, decision-making. Employees need to have relevant content readily available, and they need that content to be accurate and trustworthy. They also need to what content they can share and what content must remain confidential. Forrester describes Enterprise content management as “a set of strategies and technologies that help information workers find, use, and analyze digital information, from any place, at any time, within the guard rails of corporate policies.”

Enterprise content management has been around for about a quarter-century. Over the decades, vendors and tools have evolved and changed, but right now, we are in one of the more disruptive periods of the ECM market evolution. The dominant architecture and deployment model for on-premises, complex ECM suites are transitioning to flexible platforms, specifically designed to deliver useful apps to meet specific needs. Newer offerings and newer vendors have reimagined what the market needs and they have taken advantage of the flexibility, scalability, and continuous improvement opportunities that cloud services provide. ECM is transitioning to services-driven platforms that let designers deliver granular content apps that allow users to work the way they like, whether it is over the web, mobile, or even through another application like a CRM or online office productivity tool.

Automation and artificial intelligence (AI) are having significant impacts on these content platforms. Intelligent content services from major cloud providers that offer automated image tagging, language translations, and voice-driven actions are exciting developments that are helping to solve some of the common obstacles that traditional ECM deployments have not been able to handle such as categorizing content at large scale, automating security or life cycle policy application and proactively recommending relevant content and subject matter experts before resorting to searching.

We are also starting to see some innovation in how content is created. Content is being broken down into components, and we now need to think about how to author and manage chunks that can be reused in other documents or exposed in other applications. Automation will play an even more significant role in the future when it comes to pulling information from structured systems or from static documents as a way to get the data to kick off a process. Content can live in the cloud indefinitely. Teams can collaborate simultaneously across time zones and business boundaries faster and more efficiently, leading to even greater process efficiencies in content management.

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Jun 3 21
Christina Zumwalt

When thinking about classic computers everything was done by binary coding using 1s and 0s. Quantum computing basing everything on calculations of probability of the objects state giving it the potential to process exponentially more data compared to classical computing. These operations are known as a qubit, and these states are undefined properties that have not been detected of an object. They do not have a clear position, and occur in a mixed ‘super position’, like a coin spinning in the air before it touches the ground.  

Quantum computing is based on quantum theory where traditional laws of physics do not apply and involves the use of atomic and subatomic particles. The interesting thing about these particles is that they behave in unexpected ways. These particles can exist in multiple states at the same time. That is the underlying power that quantum computing will harness. Instead of using the traditional bits that classical computing utilizes quantum computing will use qubits of quantum bits. What is the difference? It is easiest to think about this with an image. If you have a globe or sphere a bit can exist at one of the two poles of the sphere. A qubit on the other hand can exist at any point on the sphere. The result of this is that a quantum computer using qubits will be able to store and process enormous amounts of data and information a million or more times faster using less energy than a classical computer. 

Why the hurry to develop quantum computers? Well, according to a report by the Semiconductor Industry Association we will not be able to power all the computers around the world by 2040 which is no longer far into the future. So, there is pressure to produce quantum computers for commercial consumption. 

The impacts of quantum computing will no doubt change our world because there will be applications for this technology in every industry. It is safe to assume quantum computing will open the door to some extraordinary possibilities when you consider qubits have the capability to process millions of calculations all in the same moment.  The impacts will be game-changing across industries. 

IBM and Rigetti already have quantum computers and allow users access to their quantum computers in the cloud by using IBM’s Q experience or the Rigetti Forest API. Users can test and develop their quantum programs on simulator and run them on the quantum computers in the cloud. 

The race is on to bring quantum computing to commercial scale and the cloud will play a large roll in how that happens.  It will forever change the way we think and interact with data and bring big changes to way in which we do business. It is an incredibly exciting development. AWS like IBM and Rigetti also has their own quantum compute cloud called QC2 that features the first production-ready quantum computer. AWS invites you to try it to solve certain types of math and logic problems at a speed that will take your breath away. The future is here.

Feb 5 21
Christina Zumwalt