Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other AI technologies to automate the identification and resolution of common IT issues. The systems, services and applications in a large enterprise — especially with the advances in distributed architectures such as containers, microservices and multi-cloud environments — produce immense volumes of log and performance data that can impede an IT team’s ability to identify and resolve incidents. AIOps uses this data to monitor assets and gain visibility into dependencies within and outside of IT systems.
In today’s rapidly evolving business landscape, companies often find themselves facing challenges related to excess, underutilized, or obsolete assets. These challenges not only tie up valuable resources but also hinder growth and financial efficiency. Fortunately, there’s a silver lining: Asset Recovery Solutions.
What is Asset Recovery?
Asset recovery is a strategic process that involves identifying, valuing, and effectively managing surplus, obsolete, or underutilized assets within an organization. These assets can range from IT equipment, machinery, office furniture, and vehicles, to intellectual property and real estate. When managed correctly, asset recovery can transform an organization’s financial health, streamline operations, and pave the way for growth.
Kay Impex Asset Recovery:
Redefining Asset Recovery Solutions
At the forefront of the asset recovery landscape is Kay Impex Asset Recovery, a trailblazing company renowned for its innovative and client-centric approach. With a proven track record, Kay Impex specializes in delivering comprehensive asset recovery solutions that empower businesses to maximize the value of their surplus assets while minimizing environmental impact.
Key Benefits of Kay Impex Asset Recovery’s Solutions
1. Value Maximization:
Kay Impex Asset Recovery employs a meticulous approach to asset valuation, leveraging a deep understanding of market trends and demand. This ensures that businesses extract the highest possible value from their surplus assets, contributing to improved financial outcomes. By accurately assessing the market value of these assets, Kay Impex enables businesses to make informed decisions that align with their financial goals.
2. Sustainability Focus:
In today’s eco-conscious world, responsible asset disposal is of paramount importance. Kay Impex Asset Recovery prioritizes sustainability by promoting the reuse, refurbishment, and recycling of assets whenever possible, thereby reducing environmental impact and aligning with corporate social responsibility goals. Through its sustainable practices, Kay Impex not only helps organizations achieve their environmental objectives but also enhances their reputation as socially responsible entities.
3. Customized Strategies:
Recognizing that every organization’s asset recovery needs are unique, Kay Impex tailors its solutions to match specific business requirements. This personalized approach ensures that businesses can recover maximum value while aligning with their operational goals. Whether it’s devising a plan for equipment disposition or optimizing the management of surplus inventory, Kay Impex’s customized strategies offer a roadmap to success tailored to each client’s situation.
4. Efficiency and Expertise:
With years of experience, Kay Impex Asset Recovery boasts a team of experts who excel in asset valuation, logistics, compliance, and remarketing. This expertise streamlines the recovery process, minimizing disruptions and optimizing outcomes. From the initial assessment to the final disposition, Kay Impex’s efficient approach allows businesses to save time and resources while ensuring seamless execution.
5. Data Security:
In an era of increasing cybersecurity concerns, Kay Impex places a strong emphasis on data security throughout the asset recovery lifecycle. This ensures that sensitive information is handled with the utmost care, safeguarding the interests of businesses and their clients. By adhering to stringent data security protocols, Kay Impex provides peace of mind to clients, knowing that their confidential information remains protected at all times.
In a world where adaptability and financial efficiency are key to success, asset recovery solutions have emerged as a critical tool for businesses looking to unlock hidden value from their surplus assets. Kay Impex Asset Recovery, a prominent player in the asset recovery landscape, stands as a beacon of innovation and expertise, offering customized strategies that maximize value, promote sustainability, and streamline operations.
By leveraging the comprehensive services of Kay Impex Asset Recovery, businesses can navigate the complex terrain of surplus assets with confidence, transforming what was once a challenge into an opportunity for growth and financial prosperity. As the corporate world continues to evolve, asset recovery remains a cornerstone of strategic decision-making, and Kay Impex Asset Recovery is poised to lead the way towards a more efficient and sustainable future.
In a marketplace where effective asset management can make or break a company’s financial success, Kay Impex Asset Recovery offers a solution that not only addresses the challenges of surplus assets but also opens doors to new possibilities. With a commitment to value maximization, sustainability, customization, expertise, and data security, Kay Impex stands ready to partner with businesses, helping them recover, revitalize, and thrive in today’s dynamic business landscape.
What is DMARC?
Domain-based Message Authentication, Reporting & Conformance (DMARC) is an open email authentication protocol that provides domain-level protection of the email channel. DMARC authentication detects and prevents email spoofing techniques used in phishing, business email compromise (BEC) and other email-based attacks.
DMARC, the sole widely adopted technology, enhances the trustworthiness of the “from” domain in email headers by leveraging existing standards.
The domain owner can establish a DMARC record in the DNS servers, specifying actions for unauthenticated emails.
To understand DMARC it is also important to know a few other mail authentication protocols specifically SPF and DKIM. SPF Organizations can authorize senders within an SPF record published in the Domain Name System (DNS).
The record contains approved sender IP addresses, including those authorized to send emails on behalf of the organization. Publishing and checking SPF records provide a reliable defense against email threats that falsify “from” addresses and domains.
DKIM is an email authentication protocol enabling receivers to verify if an email was genuinely authorized by its owner. It allows an organization to take responsibility for transmitting a message by attaching a digital signature to it. Verification is done through cryptographic authentication using the signer’s public key published in the DNS. The signature ensures that parts of the email have not been modified since the time the digital signature was attached.
How does DMARC Work?
To pass DMARC authentication, a message must successfully undergo SPF and SPF alignment checks or DKIM and DKIM alignment checks. If a message fails DMARC, senders can instruct receivers on what to do with that message via a DMARC policy. There are three DMARC policies the domain owner can enforce: none (the message is delivered to the recipient and the DMARC report is sent to the domain owner), quarantine (the message is moved to a quarantine folder) and reject (the message is not delivered at all).
The DMARC policy of “none” is a good first step. This way, the domain owner can ensure that all legitimate email is authenticating properly. The domain owner receives DMARC reports to help them make sure that all legitimate email is identified and passes authentication. Once the domain owner is confident they have identified all legitimate senders and have fixed authentication issues, they can move to a policy of “reject” and block phishing, business email compromise, and other email fraud attacks. As an email receiver, an organization can ensure that its secure email gateway enforces the DMARC policy implemented to the domain owner.
What is DMARC in Marketing Cloud?
DMARC can be used by email service providers and domain owners to set policies that limit the usage of their domain. One such policy is restricting the domain’s usage in “from” addresses, which effectively prohibits anyone from using the domain in the “from” field except when using the provider’s webmail interface. any email service provider or domain owner can publish this type of restrictive DMARC policy can be published by Having a powerful CLOUD SERVICES is very important as will protect employees against inbound email threats.
Points to note while authenticating DMARC:
- Due to the volume of DMARC reports that an email sender can receive and the lack of clarity provided within DMARC reports, fully implementing DMARC authentication can be difficult.
- DMARC parsing tools can help organizations make sense of the information included within DMARC reports.
- Additional data and insights beyond what’s included within DMARC reports help organizations to identify email senders faster and more accurately. This helps speed up the process of implementing DMARC authentication and reduces the risk of blocking legitimate email.
- Organizations can create a DMARC record in minutes and start gaining visibility through DMARC reports by enforcing a DMARC policy of “none.”
- By properly identifying all legitimate email senders – including third-party email service providers—and fixing any authentication issues, organizations should reach a high confidence level before enforcing a DMARC policy of “reject”.
What is an SDDC?
An SDDC is a traditional data center facility where organizational data, applications, networks, and infrastructure are centrally housed and accessed. It is the hub for IT operations and physical infrastructure equipment, including servers, storage devices, network equipment, and security devices.
In contrast, a software-defined data center is an IT-as-a-Service (ITaaS) platform that services an organization’s software, infrastructure, or platform needs. An SDDC can be housed on-premise, at an MSP, and in private, public, or hosted clouds. (For our purposes, we will discuss the benefits of hosting an SDDC in the cloud.) Like traditional data centers, SDDCs also host servers, storage devices, network equipment, and security devices.
Here’s where the differences come in.
Unlike traditional data centers, an SDDC uses a virtualized environment to deliver a programmatic approach to the functions of a traditional data center. SDDCs rely heavily on virtualization technologies to abstract, pool, manage, and deploy data center functions. Like server virtualization concepts used for years, SDDCs abstract, pool, and virtualize all data center services and resources in order to:
- Reduce IT resource usage
- Provide automated deployment and management
- Increased flexibility
- Business agility
Key SDDC Architectural Components include:
- Compute virtualization, where virtual machines (VMs)—including their operating systems, CPUs, memory, and software—reside on cloud servers. Compute virtualization allows users to create software implementations of computers that can be spun up or spun down as needed, decreasing provisioning time.
- Network virtualization, where the network infrastructure servicing your VMs can be provisioned without worrying about the underlying hardware. Network infrastructure needs—telecommunications, firewalls, subnets, routing, administration, DNS, etc.—are configured inside your cloud SDDC on the vendor’s abstracted hardware. No network hardware assembly is required.
- Storage virtualization, where disk storage is provisioned from the SDDC vendor’s storage pool. You get to choose your storage types, based on your needs and costs. You can quickly add storage to a VM when needed.
- Management and automation software. SDDCs use management and automation software to keep business critical functions working around the clock, reducing the need for IT manpower. Remote management and automation is delivered via a software platform accessible from any suitable location, via APIs or Web browser access.
What is the difference between SDDC and cloud?
A software-defined data center differs from a private cloud, since a private cloud only has to offer virtual-machine self-service, beneath which it could use traditional provisioning and management. Instead, SDDC concepts imagine a data center that can encompass private, public, and hybrid clouds.
SaaS, or software-as-a-service, is application software hosted on the cloud and used over an internet connection via a web browser, mobile app or thin client. The SaaS provider is responsible for operating, managing and maintaining the software and the infrastructure on which it runs. The customer simply creates an account, pays a fee, and gets to work.
SaaS applications are sometimes called on-demand software, or hosted software. Whatever the name, SaaS applications run on a SaaS provider’s infrastructure. The provider manages access to the application, including security, availability, and performance.
A good way to understand the SaaS model is by thinking of a bank, which protects the privacy of each customer while providing service that is reliable and secure—on a massive scale. A bank’s customers all use the same financial systems and technology without worrying about anyone accessing their personal information without authorisation.
A multitenant architecture, in which all users and applications share a single, common infrastructure and code base that is centrally maintained. Because SaaS vendor clients are all on the same infrastructure and code base, vendors can innovate more quickly and save the valuable development time previously spent on maintaining numerous versions of outdated code.
The ability for each user to easily customise applications to fit their business processes without affecting the common infrastructure. Because of the way SaaS is architected, these customisations are unique to each company or user and are always preserved through upgrades. That means SaaS providers can make upgrades more often, with less customer risk and much lower adoption cost.
Improved access to data from any networked device while making it easier to manage privileges, monitor data use, and ensure everyone sees the same information at the same time.
SaaS Harnesses the Consumer Web
Anyone familiar wit Office 365 will be familiar with the Web interface of typical SaaS applications. With the SaaS model, you can customise with point-and-click ease, making the weeks or months it takes to update traditional business software seem hopelessly old fashioned.
SaaS takes advantage of cloud computing infrastructure and economies of scale to provide customers a more streamlined approach to adopting, using and paying for software.
Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interaction between computers and humans in natural language. The ultimate goal of NLP is to help computers understand language as well as we do. It is the driving force behind things like virtual assistants, speech recognition, sentiment analysis, automatic text summarization, machine translation and much more.
Data generated from conversations, declarations or even tweets are examples of unstructured data. Unstructured data doesn’t fit neatly into the traditional row and column structure of relational databases, and represent the vast majority of data available in the actual world Nowadays it is no longer about trying to interpret a text or speech based on its keywords (the old fashioned mechanical way), but about understanding the meaning behind those words (the cognitive way)
It is a discipline that focuses on the interaction between data science and human language, and is scaling to lots of industries. Today NLP is booming thanks to the huge improvements in the access to data and the increase in computational power, which are allowing practitioners to achieve meaningful results in areas like healthcare, media, finance and human resources, among others.
Use Cases of NLP
In simple terms, NLP represents the automatic handling of natural human language like speech or text, and although the concept itself is fascinating, the real value behind this technology comes from the use cases.
NLP can help you with lots of tasks and the fields of application just seem to increase on a daily basis. Let’s mention some examples:
- NLP enables the recognition and prediction of diseases based on electronic health records and patient’s own speech. This capability is being explored in health conditions that go from cardiovascular diseases to depression and even schizophrenia. For example, Amazon Comprehend Medical is a service that uses NLP to extract disease conditions, medications and treatment outcomes from patient notes, clinical trial reports and other electronic health records.
- Organizations can determine what customers are saying about a service or product by identifying and extracting information in sources like social media. This sentiment analysis can provide a lot of information about customers choices and their decision drivers.
- Companies like Yahoo and Google filter and classify your emails with NLP by analyzing text in emails that flow through their servers and stopping spam before they even enter your inbox.
- Amazon’s Alexa and Apple’s Siri are examples of intelligent voice driven interfaces that use NLP to respond to vocal prompts and do everything like find a particular shop, tell us the weather forecast, suggest the best route to the office or turn on the lights at home.
IT departments are facing pressures to align their IT services with business needs, develop standardized processes and improve the IT customer experience and IT customer satisfaction, all while keeping costs low. Arguably one of the best ways to achieve this is through a Service Catalog.
A Service Catalog is the store front (or directory) of services available to the enterprise user. This includes setting expectations (what you get, when, how, at what cost) and proper measurement of those expectations to determine if they have been met or exceeded In essence, a Service Catalog helps IT departments demonstrate the value and innovation they deliver to the business and help enterprise users to access the right services at the right time, to be more productive and do their job more effectively.
A Service Catalog defines a clear view of what IT can do for employees–the value IT delivers. It enables a common understanding of what a service is, who they are available to, and what characteristics (and costs) they have. Service Catalog design templates deliver unique experience and branding; each enabling IT departments to choose the best option to meet their business and user needs