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The days of putting IT security, data governance, and supporting policies on the back burner have quickly ended for our local government. The ability to procure Cyber Security insurance coverage is becoming more and more challenging.

Are you a software as a service company looking to reach a wider audience to sell your product? Would you like to expand your consumer base to sell more of your software? No matter your answer to either of these questions, there is always room for new sales, and a lot of it comes down to optimizing your ecommerce model to cater to the needs of the public. 

Cybersecurity protects computer systems from unlawful and unauthorized use of data. Nowadays, especially after the coronavirus pandemic, which led everyone home and online to go to work or school, cybersecurity is critical and relevant due to the increasing opportunities for bad actors to go online and exploit the ever-rising population on their computers and smartphones. 

In the world of digital marketing, there are numerous channels that enable your business to increase sales and profit. Choosing the right channel depends on your business model, the resources you have, what your unique business value is, and what your product is.

Within the past ten years, data, especially “Big Data,” has become an invaluable resource for any business. From the smallest vendor to the largest multinational enterprise, being able to store, organize, and draw insight from increasingly large amounts of data is a critical aspect of any system’s design. 

A record-breaking number of 4.5 million Americans quit their jobs in March 2022. Employers are scrambling to fill these vacancies and keep up with the work processes required to keep companies moving forward or simply operate at the same pace. 

A robust strategy and an SAP S4 Data Conversion approach dictate the success of post-merger integrations. To set the direction and develop value, organizations need Enterprise & Solution Architects to be fully involved starting from the planning phase.

Integrations have roadblocks to overcome ranging from technical integration practices to processes, people, and culture. However, the most significant challenge of merging two organizations is the harmonization of disparate technology landscapes

As businesses continue to integrate advancements in computing technology, those at the forefront perform more efficiently than ever. The Digital Revolution, as this is termed, poses a unique set of challenges which cloud computing can best resolve. Navigating the cloud can be a very difficult pursuit, but understanding the why’s and how’s of cloud computing is a necessity to maintain growth through the Digital Revolution. Why the Cloud? Scalability With more users than ever harnessing digital technology, costs of computing and storage are becoming a significant draw. Expanding hardware capabilities can quickly become cost prohibitive. More importantly, resources still drain time and money when not in use.  Unlike this traditional model, cloud computing utilizes a pay-as-you-use model, where services can scale-back in downtime and can instantly grow when demand is high. It enables new services to start small or large without any initial investment. Cloud computing offers flexibility and growth where traditional computing cannot. Global Reach As part of the Digital Revolution, more and more people need to be connected across the globe. Achieving global connectivity in a company with only traditional technology is almost impossible; it requires massive amounts of resources spent on networking and a large team dedicated to maintenance.  Cloud computing gets rid of the need to manually manage networks and even the need for centralized computing. Utilizing cloud technology, it is possible to build an interconnected global system where the majority of computation happens close to the end-user, minimizing cost and latency.  Unique Features Cloud platforms offer a unique suite of technologies that are otherwise inaccessible to most businesses. One of the most unique and transformative is Artificial Intelligence. Many cloud providers have fully functional AI frameworks available, making complex but increasingly important tasks such as image recognition and natural language processing easy to achieve in the cloud.  One powerful feature is Infrastructure as Code, which allows an entire environment to be defined as code rather than manually configured. This not only enables the agile changing, deployment, and debugging of infrastructure, but also allows for the infrastructure to be worked on like any other project, so version control systems and automated testing can be implemented.  Other unique features include: Serverless application platforms Globally accessible data buckets Fully managed databases Automated global logging Reliability Ensuring the reliability of computing systems has always been a major design factor. The Digital Revolution has only increased this importance by making technology a vital part of both a business’s processes and everyday life. Any downtime or issue can be disastrous and may lead to severe consequences both for a service and its end users.  Cloud computing opens up many techniques to drastically increase uptime and make disaster-resistant systems. It is also possible to host services in multiple regions, allowing for one instance to take over if another fails. With Infrastructure as Code, it is easy to rollback an entire system if it is found to work improperly. Where to begin Design Designing a cloud system offers many of the same challenges that designing a regular system does. The choice of how to host an application, what kind of database to choose, and how a network should be organized. These challenges have a wider range of solutions in the cloud than they do in legacy systems.  Also important is deciding how much infrastructure will be in the cloud; it is possible and often necessary to have a significant number of resources on physical in-house servers. Most cloud providers offer some hybrid-system integration, allowing smooth communication between cloud and physical systems. Cloud Providers There are numerous cloud providers, but the largest and most robust are Amazon AWS, Microsoft Azure, and Google Cloud Platform. Each of these providers, while offering many of the same services, have their own advantages and problems that make them unique in their applicability. AWS, Amazon’s cloud offering, is the largest cloud provider by market share. This serves as one of its main benefits: it has access to a global network and a vast amount of reliable resources. It also has the largest number of professionals who are able to develop versatile systems. AWS boasts strong security measures, designed to keep vital resources safe and confidential. Microsoft Azure is another large cloud provider, best known for its simplicity compared to other cloud providers. While this does make environments easy to set up, it can also limit their potential. Azure is able to easily integrate with many Microsoft services, including the Microsoft Office suite.  The Google Cloud Platform is smaller than its competitors, though it offers the same breadth of services. Where it shines is its data analytics capabilities: it offers many powerful database options, as well as a host of machine learning systems designed to foster automation and growth. It also offers the most scalable services and tends to be less expensive than its competitors. Using cloud computing to accelerate the Digital Revolution is an incredibly large endeavor requiring years of experience to build robust systems. Contact Aptimized to learn more about migrating your legacy systems to the cloud environment safely, efficiently, and accurately.

Automation can be an overwhelming concept - where to start, which processes to automate, how to develop an efficient plan. However, reworking existing business processes to run automatically or on a scheduled basis can be a big time and cost saver for a company.  Whether it’s something as simple as running a financial report automatically and saving it in Excel, or pulling data from an ERP and mapping it to a Shopify site, automation eliminates tedious, repetitive tasks that can cost a business hours of work while also limiting human error.  There are many different types of automation depending on the application and business case, but 3 standard examples are automating within an application, basic automation with batch scripts or other simple scripting languages, and more advanced automation with a language such as python: In-App automation Many tasks can be automated from within an application, and this is often the simplest approach. With financial reports for example, programs such as QuickBooks offer the ability to run reports on a scheduled basis. Rather than manually exporting a report at the end of every quarter, you could simply setup a scheduled report to export a quarterly report, and even set email recipients. This could be even more useful for reports that are run more frequently, such as at the start of each week or business day. Simple in-app automation is available in many different programs, and can save you time over the course of a week or a month on repetitive tasks. Basic Scripting Scripting is a type of programming involving generally simple commands. In Windows, for example, a script could be used to copy a series of folders or files from one location to another, or run an application automatically. While this might not seem like a useful tool, there are many other repetitive tasks that scripting can be used for.  If your first task everyday is to go and check your inbox, a simple batch script could be made to open your default web browser and load your email client, like gmail.com. This same script could then be scheduled to run as soon as you login using the built-in tool Task Scheduler.  This basic example could save you time in your morning routine, but, on a bigger scale, using the same tools could enable you to automatically perform other similar tasks, like renaming a large batch of files all at once, or shutting down a program that refuses to close correctly, all without needing to press ctrl-alt-del. Advanced python automation For more advanced scripting and automation, a more powerful language is needed. Python can be used to integrate and automate apps with each other. Through the use of Application Programming Interfaces (APIs), several different programs can communicate with each other.  An example of python automation could be exporting product data form an ERP and uploading it to a Shopify website. ERPs often provide APIs allowing for applications to integrate with them, although the actual methods of integrating can vary between different ERPs. Shopify also offers an API with many different features, such as adding new products, or updating existing ones. In order for these two applications to communicate, some sort of middleware needs to be put in place. This is where Python comes in. A python script can act as a bridge between applications, connecting with your ERP to export product data, modify field names from the ERP in order to match fields in Shopify, then upload that data to Shopify. If you often find yourself creating .csv files of product names and fields to upload to Shopify, a python script to automate these tasks could save hours throughout your day for more important tasks. There are many different forms of automation, from helping an individual with basic tasks to more advanced integration between applications. Determining what is needed for your business requires identifying the pain-points and drafting a strategic plan that addresses each one. The Aptimized team is experienced in crafting innovative technology solutions that drive success and deliver high-quality results. Contact us today to request a proposal and learn more about how we can help.

SAP Ariba is a leading supply chain management solution provider with a powerfully broad range of capabilities. Ariba’s contract management solutions form an integral part of its broader services, which is why understanding contract compliance and standardization with SAP Ariba Contracts is vital for any business looking to utilize this tool. Contract Compliance In simple terms, contract compliance refers to managing how and when contracts are enforced. Critically, it allows for business logic to control how users are able to create contracts. This facilitates the simple enforcement of internal rules and government regulations based on contract type or region, users involved, amount of money the contract deals with, and other additional options. SAP Ariba Contracts is a contract management solutions system with many features to support contract compliance and enforcement. Along with native integrations to other SAP Ariba components, SAP Ariba Contracts helps to manage and govern contract creation, negotiation, and enforcement. Since contracts are often repetitive and highly derivative of previous contracts, the Ariba software for contract management allows for standardized templates to be created, providing a starting point for contracts that can be reused for future projects. Contract Standardization Another feature of Ariba Contracts is the optional Clause Library, a central repository which stores clauses, which are individual parts of a contract, to be used and reused among different documents. This ties back into contract compliances because metadata added to these saved clauses would enable them to be allowed/disallowed in the particular circumstances. For instance, adding specifications in the metadata of the clauses regarding EU regulations would allow this condition to be present in the necessary contracts applicable to these regions. The Clause Library has many features to intelligently re-use clauses. Once a clause is approved, it can easily be used elsewhere as much as needed. The Clause Library also provides one space from which documents are pulled. They can be updated and managed, and since the Clause Library comes with native version control, previous versions can also be easily restored. Ultimately, the Clause Library allows for standard clauses to be easily pulled into many contracts, easing enforcement issues. The Clause Library limits the amount of custom work that needs to be done to create new clauses, ensuring standard language is used between contracts. Contract compliance can also be ensured with compliance documents. To optimize the uses of SAP Ariba contract management solutions, contact the Aptimized team.

With most enterprises entering the digital sphere, data security is becoming an ever-important consideration. Maintaining confidentiality of sensitive information is one example of a vital aspect of adequate data security measures, especially if your business handles customer profiles and transactions. To optimize data security, many organizations are considering the integration of blockchain solutions for their digital transformations. In general, data security can be broken down into four main elements: Confidentiality, Integrity, Authenticity, and Availability. Though some, such as confidentiality and integrity, are often considered the most important, they are useless without an integrated approach spanning every core concept in data security.  Data Confidentiality Data confidentiality refers to having strict, verified control of who or what can access data and how they are able to do so. There are government regulations that require customer data to be confidential in many cases. Even without such requirements, securing customer data should still be a priority because data leaks are incredibly destructive to customer trust, as seen in many real-world examples. Other times, you may simply have sensitive business data which should not, or cannot, be broadly available. Common data confidentiality practices include data encryption - in transit and at rest, physical control over sensitive servers and documents, and managed company devices specifically required for data access. These practices all complement each other to create a more confidential data landscape. Data Integrity The integrity of your data - ensuring the accuracy, consistency, and validity of data through its entire lifecycle - is necessary for your data to remain useful. Incorrect data is not only useless but can actually be detrimental to business decisions. Maintaining data integrity then is not only a key aspect of data security but is required for data to even be functional. Some practices in maintaining data integrity can be quite simple, such as consistently validating input data which allows for many issues with validity and accuracy to be resolved before the data even enters your system.  Good data confidentiality can bring about data integrity; ensuring that the only people and systems that can access the data are those that actually need to utilize it helps mitigate errors and unauthorized changes.  Data Authenticity While similar to the concept of data integrity, data authenticity is distinct because rather than just ensuring that the data is accurate, data authenticity helps to prove the accuracy. Data authenticity and data integrity are principles of data security that go hand-in-hand.  To ensure that data is accurate requires one to keep track of what happened to it. Ultimately, data authenticity helps to ensure the security of an entire system by outlining the origins of the data and tracking where it leads to. Think of data authenticity as leaving a paper trail which documents all actions performed on the data. This includes keeping track of who (or what) created the data, when it was created, where has the data been passed to and from, how has the data been transformed between various locations, and who has accessed the data.  All of this metadata can prove that data is accurate and valid. Just as knowing the provenance of a painting can help determine its monetary value, knowing the provenance of data determines its decision-making value. Data Availability  Data availability is the most often overlooked aspect of data security. Ensuring that the data is available and accessible is necessary because secure, accurate, and authentic data is useless without the ability to use it. Many threats to data availability exist both internally and externally within a system.  One of the most prominent threats is ransomware, which removes access to data and disrupts the entire business cycle. The best defense against this is maintaining regular data backups. Many services exist which help to protect data against ransomware and to minimize its impact. With increasing malware attacks, data security has become the utmost priority for businesses. Other data availability complications can come from within a system. If some datastore is being utilized beyond its capacity, it can lead to major slowdowns and difficulty accessing data at all. Ensuring that data servers are able to fulfill their needs through their type and scale is a necessary consideration of data security. Having physical data whose access is needed around a business can be destructive. Digitizing this data can drastically increase its availability. With four key elements to consider, securing data requires a multifaceted process that considers data throughout its lifecycle. This is where Aptimized can help. Contact us today to get started.

Salesforce CRM is a crucial tool for the modern business, but creating an implementation roadmap suited for your business can be a daunting task. Following a set of best practices for a successful Salesforce implementation can help keep this process simple and deliver the product which best suits your needs.  Best Practice 1: Plan everything Planning is the key to any successful implementation. With Salesforce, it is important to plan how the services are utilized to reach the set goal, which should also be outlined and defined. Knowing the desired end result from a Salesforce implementation and the required steps to achieve it are vital. Best Practice 2: Know your stakeholders Whether it be business or end-users, stakeholders define what an implementation will look like. Knowing who this implementation impacts will guide what needs to be implemented. With Salesforce CRM, you need to consider how the needs of the company and customer may differ and plan the project accordingly. The CRM software refines sales outreach and creates engaged marketing. Understanding the impact of the implementation on each department as well as the customers will shape the whole process. Best Practice 3: Define what success looks like Salesforce is a vast platform with many different options and tools available. Too often, projects can grow to be much different and larger than what was originally intended. One might find a small e-commerce implementation turning into an entire customer relations support network. While projects need to be flexible to suit the everchanging needs of a modern business, having some concrete end goal will guide an implementation towards exactly what it needs to be. Knowing what these success criteria are, and how they will affect your business, will provide developmental clarity through the entirety of the implementation. Best Practice 4: Be data-driven Salesforce revolves around data. As a CRM tool, it brings critical information together for viewing and analysis. Consider where the data is coming from and ensure that these sources are accurate and safe. Data integration is always difficult, so it is important to recognize how various data sources can and cannot interoperate. The ultimate purpose of Salesforce is to collect and leverage data to improve customer relations - your implementation should focus on organizing and integrating this data.  Best Practice 5: Know how to go-live With Salesforce’s wide range of services, going live can have impacts on every corner of your business. Preparing a go-live plan is needed to seamlessly integrate a Salesforce implementation with existing enterprise services. Creating procedures and contingency plans for the entirety of the go-live process can mitigate many common integration issues. Ensure that stakeholders are prepared for the go-live as well: many projects end in failure if users are unable to adapt to the change in environment.  Best Practice 6: Provide post-implementation support A successful Salesforce implementation is useless without upkeep and planned maintenance. In the short term, usability tests and user-based feedback systems are recommended to explore how a live implementation is functioning. Developing a resource catalog can drastically benefit user experience. Long-term support needs to be focused on keeping the implementation up to date, ensuring that services function properly, and maintaining a system which solves stakeholder needs. Eventually, a plan for when and how to decommission your Salesforce implementation must be developed or strategies to continue support for perpetuity must be detailed. Planning, designing, and implementing a Salesforce implementation can be a daunting task, but these best practices are designed to ease some of this burden. Aptimized Salesforce implementation experts can deliver a complete Salesforce implementation tailored to your exact business needs. Contact us today to get started.

On the surface, search engine optimization may just seem like packing as many buzzwords into your content as possible. This common misconception often leads to websites which seem to be catered towards Google’s scraper bots rather than clients with “keyword-stuffed” content.  The truth is that buzzword-packing leads to a website which is disliked by both readers and search engine algorithms. Some of the most overlooked aspects of SEO are often the most important for successful website maintenance. Know your target Just as with any publication, knowing your audience is critical. This is especially important for SEO. If your website provides information on various kinds of athletic shoes, you should target the content towards someone looking for shoes to buy, not someone who already knows what shoes they want to buy.  Similarly, if you are running a page which sells these shoes, you should try to target your content towards searches like “buy Nike Revolution 5” rather than searches like “best running shoes.” Keeping your website specific will not only attract relevant clicks, but will actually increase its SEO rating and its position within search results. Title Tags & Metadata A page’s Title Tag, the ‘headline’ which is seen on a search engine, and its Metadata, the description under that headline, are the most vital content locations for SEO. Since these are what users will first see, search engines consider them highly when scoring pages. Make sure that these areas contain concise, descriptive content. It is important to include a couple keywords in these areas, but it is critical to avoid keyword stuffing. Not only will this reduce the search engine’s rating of your site, but it will drastically reduce your clickthrough rate because of hard-to-understand language. Descriptive URLs URLs are at the heart of a website and are considered such when determining SEO. Having descriptive URL paths gives a search engine a much better idea of what a page does. If you have an online storefront, consider having it be accessible through “…/shop” rather than through something like “…/c/main”.  Descriptive URLs extend to content as well. Rather than having a link’s text be generic, such as “more,” it should be descriptive of what the link leads to. It is vital to not have any dead links – links which lead to nonexistent webpages – as they drastically hurt SEO. Optimize speed Rarely considered for SEO is webpage loading time. Making your site responsive and fast-loading gives a generous boost when compared to slower competitors. Reducing unnecessary scripts and CSS are easy ways to reduce loading times. Using high-compression-ratio formats such as JPEG reduces loading times, though be careful to avoid compression artifacts on text. SEO is a vast and complicated topic. Monitoring and implementing the best SEO tactics requires experience and a deep knowledge of consistent best-practices. Hiring an SEO expert is the most efficient way to fully optimize your site long-term for high quality results and turning interested visitors into prospective customers. Call Aptimized today for a free consultation of your e-commerce strategy.

In business, ten years feels like yesterday, while in IT, ten years measures up to an eternity of transformations, modernizations, and advancements to everyday technology. Ten years ago, no one was discussing blockchain technology with the urgency we see today. Back then, it was just some novel idea being utilized for a little-known internet currency called Bitcoin. Fast forwarding to today, blockchain has grown to be a multi-billion-dollar industry, revolutionizing the internet and the very ways we do business.  How has blockchain gotten so big? Why is its growth only accelerating? The decentralized blockchain as we know it was created in 2008, with the ideas of transparency, security, and mass collaboration in mind. For years, it was relegated to Cryptocurrency, a relatively niche financial investment. Recently, blockchain technology has expanded into many other industries, such as supply chain management, healthcare, and cybersecurity. Blockchain’s growth in these sectors is due to its intrinsic properties. Because blockchain facilitates transparency, it allows for records of a supply chain to be unchangeable, eliminating many chances for fraud. Mass collaboration is vital in the healthcare industry, especially now as it becomes more difficult for providers to share the increasing amount of necessary health records a patient may need. Blockchain’s application to cybersecurity is self-evident; it provides an unparalleled ability to manage and protect sensitive information. Blockchain’s success coincides with a massive shift in the relationship between a business and its customers. Consumers are increasingly demanding for more transparent business processes and higher levels of security for their data. Blockchain perfectly addresses the former need, and actually allows for a system where customers manage their own data. Using blockchain, many businesses are already meeting these customer needs, and are providing fast, transparent, and secure services which were unimaginable just a decade ago.  There are hundreds of different reasons for the rapid adoption of this relatively new technology. Blockchain provides many solutions important for the inflection point within the IT space. Many businesses have recognized the utility of blockchain in changing old and creating new innovative products, ultimately achieving the degree of flexibility needed in today’s technology sphere.  While relatively new, deciding the approach to incorporating blockchain technology is critical in staying on top of digital trends and making sure that you are offering the most cutting-edge technology to your customers. Begin this journey with Aptimized. Call us today at (888) 332-5310 or submit a request to contact us.

As a leader of your organization, you must consider different use cases regarding blockchain as a looming necessity for modernizing your technology. Intel has recently launched a crypto-specialized chip as a “blockchain accelerator” to utilize for efficient data mining and minting NFTs; “Blockchain is a technology that has the potential to enable everyone to own much of the digital content and services they create… an inflection point in computing, fundamentally disrupting the way we store, process and transact our digital assets as we usher in the era of metaverse and Web 3.0.” Onyx by J.P.Morgan is “the world's first blockchain-based platform for the exchange of value, information and digital assets.” The Stages of Implementing Blockchain Whether you are dealing with personal data, public data, digital content, collectibles, or other widgets for sale, the various solutions could be daunting. As you begin your journey down the blockchain path for your organization, you have a few things to consider that will make this less overwhelming. Implementing a blockchain can be done in phases, starting with what you already have. ·       Step 1 – Web 2.0 - Do you have a Web 2.0 solution in place already? For example – do you have a current cloud based or on-premise online application that you are using for all of your existing use cases? If so, that means you have step one already covered! ·       Step 2 – The Architecture - Evaluate the blockchain platforms to pick one that works well with your user case. In this step, you just need to implement your wallet. This is the place where the user will obtain access to all the relevant data on their own components of your use case (think personal data, or your tokens that align with owning “something”). ·       Step 3 – The Wallet - Deploy your wallet and store your keys on the blockchain. You can use blob storage or secure storage to save your files, images, etc. You do not yet have to put everything fully in the blockchain yet. ·       Step 4 – The Blockchain - This is the step where you deploy full blockchain. You must pick if you want open source, private or public blockchain capabilities. For sensitive information, you might consider private and open source so that you maintain control. This is where you need to consult with a blockchain architect to design it properly. ·       Step 5 – Trusted Encryption Environment - This is the “final” level of maturity on the blockchain. You need hardware where you will do mining if you are doing an on-prem solution. You need to establish a trusted encryption environment and store everything in the blockchain. Choose wisely as you will have transaction charges, “gas charges,” or other licensing for some of the software components that go in a cloud solution. This is the most complex part of an implementation, and we advise that you connect with us to help. We are in the middle of a global transformation driven by these technologies. Finding the right partner is important in ensuring that you do not miss the boat. Aptimized has a team of experts that can help you during each stage. Call us TODAY for your free assessment at (888) 332-5310. Get started and get ahead early, only with Aptimized.

What is a Blockchain? A blockchain is a distributed ledger made up of a chain of blocks that are used for the purpose of secure transactions. These transactions can be for money, contracts, or ownership. Blockchains are made up of a series of blocks which is where the information and data is stored. The information that is on each block is dependent on which type of blockchain you are on. Information on a block could be the block height, timestamp, transaction history, and miner name. Each block in a blockchain is linked to the one before it with a hash tied to it. A harsh is a unique identifier of every block which contains that block's data. Hashes cannot be changed, therefore, if any data is changed within the block, a new hash will be created.  Since every block shows the current and previous hash, if someone were to change a block, they would need to update every hash after the block they edited. With modern technology, updating these hashes could be completed within minutes, eliminating the hassle and allowing easy alteration of data. To resolve this issue, cryptocurrencies utilize consensus methods, allowing systems to decide which transactions are legitimate. Two consensus methods of fixing this security issue are: Proof of Work (PoW) The main difference between proof of work and proof of stake, is that proof of work utilizes miners to validate these transactions. In order to validate transactions and create new blocks in a blockchain, PoW utilizes miners to solve a complex math problem. Once solved, the miner is rewarded with cryptocurrency and is allowed to update the blockchain with the validated transactions.  Proof of Stake (PoS) Utilizing miners for validation requires a massive amount of processing power and is incredibly energy-intensive, which can lead to troubles with scaling. In order to resolve this, proof of stake was developed. In PoS, a group of “validators” are employed who “stake” their own cryptocurrencies (normally a high amount of crypto) to validate the blockchain. Once the validation is complete, other “validators” can attest that the validation is correct, and after there is determined enough validations, the blockchain is updated. Any validator who took part in the validation is rewarded with cryptocurrency. As the world of blockchain becomes more mainstream, storing data within the blockchain will be the  secure and efficient decision.  Aptimized will lead in providing your organization with the right blockchain solution, allowing your business to be pioneers in this new world.

Hyperautomation – completely handing off business processes to software – is finally here. Hyperautomation promises more than boosting productivity, it also empowers everyone in the workforce and fundamentally shifts how business is run. With robotic processes automation (RPA) integrated with API and AI services and codeless apps, the Google Cloud platform leads the way in hyperautomation.  Hyperautomation isn’t just the creation of large, automated workflows. It utilizes AI/ML to intelligently make decisions, automatically ingest unstructured data, and intelligently respond directly to humans. Hyperautomation also works to bring everybody into automating business management. No-code apps allow for stakeholders to autonomously build and share apps that suit their needs. While other cloud providers, such as AWS and Azure, allow for hyperautomation, Google’s platform, due to its data driven nature, is designed around it.  Google has recently announced collaboration with Automation Anywhere, the leading cloud RPA service. With RPA, common and repetitive tasks such as online order processing and transferring data between applications can be handled automatically by software. Automation Anywhere allows users to pull from hundreds of pre-built bots and combine their processes to suit their specific business needs. Where Automation Anywhere RPA stands out is its integration of ML technology, with IQ Bots designed to intelligently compare, extract, and organize all types of data. In addition, real time monitoring and reporting is offered, allowing users to make instant insight into the state of their automation. Automation Anywhere is already integrated with select Google Cloud services, such as Apigee, Appsheet, and AI Platform, which also augment hyperautomation individually. Apigee, Google Cloud’s API platform, allows Automation Anywhere to communicate with critical back-end infrastructure. Automation Anywhere can easily view and interact with data from Appsheet, allowing for the simple creation of codeless apps tied to automation. And, connecting with AI Platform gives this RPA a wide breadth of complex behavior that can be put towards automating many business processes.   Though a cloud-native product, Automation Anywhere is able to service hybrid architectures and can even run on on-premises systems. RPA technology automates many repetitive but critical business processes, making it a vital tool for hyperautomation. Google’s partnership with Automation Anywhere will make launching your business into the future with hyperautomation a painless and non-destructive process.

Actifio easily integrates with existing cloud + hybrid environments, ensures that data isn’t duplicated, makes backup recovery simple, and reduces the overall size of backups.

Whether a small personal webpage or that of a corporate enterprise, all websites require significant maintenance including considerations of website hosting, domain names, SEO practices, and UI design.