As we have entered a time in technology where we are able to not only aggregate big data (Software) from many devices (Hardware) seamlessly talking to each other…
…but offer personalized communication streams through these devices based on personal behaviors and habits (Software + Hardware).
IF WE CAN CONSTANTLY COLLECT & CONTROL NEW BIG DATA STREAMS, WE CAN LEARN HOW TO CONTROL AND OPTIMIZE HOW WE SCALE WITHIN ALL ASPECTS OF THE BUSINESS IN:
1
SERVICES
Fine tuning them based on the data collected, or create newer ones that appeal to a different audience down to a one-on-one level.
2
COMMUNICATION
Creating a more personalized path to our audience as well as providing the right messages at the right time to an audience that wants to hear it.
3
PROCESS
Identifying newer ways to collect data through time in order to better reach the customers rather than frequently creating one time campaigns intended to be target to the mass for bursts of sale.
SOFTWARE
HARDWARE
BOTH
DATA COLLECTION
Aggregates and saves data about a consumer from online and social media.
Data inputted by the consumer on a device is stored. Devices range from personal hardware to corporate hardware such as self-check in booths or self booking stands.
Devices talk to each other to prompt the user to input data based on a triggered behaviour or habit online.
SERVICES
Aggregates consumer search and online habits.
Launches offers through social media and online.
Displays offers through computers, screens, or portable devices such as phones, laptops, or computers.
Devices and Software talk to each other to provide additional layers of consumer data that allows Software to further learn and target potential consumers.
INNOVATION
Optimizing more algorithms that automate processes and internal operations such as how we approach the customer and communicate with them online.
Providing new rich experiences for consumers by communicating using new digital mediums, devices, or by creating content for them such as VR or AR experiences applied at physical locations or at the comfort of their home.
Creating a constant data stream between the new mediums used and the internal data aggregating software hub. Providing experiences that can lead to a seamless sales.
AS NEW TECHNOLOGIES RISE, MANY INDUSTRIES LEVERAGE COMPONENTS OF THE TECHNOLOGY TO BETTER SUIT THEIR EVERYDAY NEEDS OR BUSINESS OBJECTIVES
HERE ARE SOME EXAMPLES OF THESE:
ARTIFICIAL INTELLIGENCE
ROBOTICS
BIOMETRICS
WEARABLE TECHNOLOGY
AUGMENTED & VIRTUAL REALITY
INTERNET OF THINGS (IoT)
The cloud is a very broad concept, and it covers just about every possible sort of online service, but when businesses refer to cloud procurement, there are usually three models of cloud service under consideration.
Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
Each has its own intricacies and hybrid cloud models, here is the high-level differences between SaaS, PaaS, and IaaS.
SaaS
Very similar to the old thin-client model of software provision, where clients in this case, usually on web browsers, provide the point of access to software running on servers. SaaS is the most familiar form of cloud service for consumers.
SaaS moves the task of managing software and its deployment to third-party services.
SaaS APPLICATIONS
DROPBOX
File hosting and sharing service on the cloud with offline features.
GOOGLE SUITE
A brand of cloud computing, productivity and collaboration tools, software and products.
SALESFORCE
Although also a PaaS and IaaS platform are a business' command center in the form of a customer relationship platform (CRM ). Their solutions work together to manage sales, marketing, customer service, and more in one central location.
USE CASE
Replaces traditional on-device software with more real-time dynamic solutions always on the cloud.
PaaS
Abstracts much of the work of dealing with servers and give clients an environment in which the operating system and server software, as well as the underlying server hardware and network infrastructure are taken care of, leaving users free to focus on the business side of scalability, and the application development of their product or service.
Businesses can requisition resources as they need them, scaling as demand grows, rather than investing in hardware with redundant resources.
PaaS APPLICATIONS
APPRENDA
Cloud Platform empowers enterprise IT to create a shared service on the infrastructures of their choice and offer it to developers across business units.
GOOGLE APP ENGINE
A web framework and cloud computing platform for developing and hosting web applications in Google-managed data centers.
HEROKU
A cloud platform as a service supporting several programming languages that is used as a web application deployment model.
USE CASE
Increases productivity and utilization rates while also decreasing an application’s time-to-market.
IaaS
Comprised of highly automated and scalable compute resources, complemented by cloud storage and network capability which can be self-provisioned, metered, and available on-demand.
Providers offer these cloud servers and their associated resources via dashboard and/or API. IaaS clients have direct access to their servers and storage, just as they would with traditional servers but gain access to a much higher order of scalability.
Users of IaaS can outsource and build a “virtual data center” in the cloud and have access to many of the same technologies and resource capabilities of a traditional data center without having to invest in capacity planning or the physical maintenance and management of it.
IaaS APPLICATIONS
AMAZON WEB SERVICES
A subsidiary of Amazon.com that provides on-demand cloud computing platforms to individuals, companies and governments, on a paid subscription basis.
MICROSOFT AZURE
Cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through a global network of Microsoft-managed data centers.
GOOGLE CLOUD PLATFORM
A suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
USE CASE
Extends current data center infrastructure for temporary workloads.
TAILORING THE RIGHT LOW TO HIGH END SAAS SOLUTIONS TO THE EXACT FIT AND NEED OF YOUR BRAND’S DIRECT AND INDIRECT OBJECTIVES, FORWARD GOALS AND MILESTONES.
