Article | April 8, 2020
The telecom industry has always evolved to take advantage of newer, better technologies as they become available starting with 1G and evolving into 4G, and now 5G. In fact, the pace of technology adoption will accelerate with 5G. Technologies such as virtualization, cloud native, cloud computing, edge computing, artificial intelligence, machine learning, network slicing, automation, management and orchestration are all key components in enabling the use cases and business models that are expected to come with 5G. These technologies will contribute to the high-performance, high-capacity, high-reliability and low-latency associated with 5G, all delivered at a low total cost of ownership (TCO). This combination of high performance and low TCO is essential, both in addressing the exponential growth in data traffic and in handling the increasing number of IoT devices.
Article | April 8, 2020
In a very short space of time, the coronavirus outbreak has completely transformed how organisations across all sectors operate. With lockdown restrictions rolling out across the globe, those organisations have moved quickly to instruct their staff to work from home in a bid to halt the spread of the Covid-19 infection.The nature of the IT industry will mean many of its businesses and employees will have remote working experience, but that isn’t the same across the board. According to March 2020 research from the Office of National Statistics (ONS), only 30% of UK employees ever worked from home during 2019. For many, the change has been sharp and abrupt, and brought with it significant challenges for both the workforce and the IT infrastructure required to support it.Due to the rapidly unfolding pace of the Covid-19 pandemic, CIOs have had little time to test the robustness of their business continuity strategy. However, the demands of the workforce will remain the same, with remote staff expecting the same resources and applications from home as they would if they were still operating out of a central office. Making sure that IT infrastructures can cope with the surge in demand for access to on-premise and cloud platforms from remote locations is key in the coming months.
Article | April 8, 2020
While cloud computing technology is already at the matured stage, many organizations have recognized its extensive benefits and begun integrating it to achieve their business goals. According to Markets and Markets, the global cloud computing market size expects a hike from USD 371.4 billion in 2020 to USD 832.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.5%. Thus, by adopting cloud computing technology continuously in various sectors, businesses are paving their route to success. Although the last year was challenging for marketers due to the global pandemic, the widespread vaccination drives are reopening some industrial sectors, contributing to improved marketers' confidence this year. Marketing or, better to say, digital marketing is one of the prime verticals to reap maximum benefit by integrating with cloud computing technology. We know how the cloud serves extensive benefits to businesses and trends in the technology market. Cloud computing and marketing can jointly make the organizations future-ready and drive tremendous business growth. The combination can considerably change how organizations can improve their marketing strategies.
This article will elaborate on the benefits of integrating cloud computing with digital marketing and how this exclusive collaboration works for business growth.
Top benefits of Cloud Integration in Digital Marketing
By integrating cloud services into digital marketing, several organizations of all sizes can succeed and enhance their versatility. Cloud computing democratizes the platform, allowing businesses to gain traction and collaborate easily. Marketers also appreciate the flexibility of the cloud, which allows scaling with fluctuations at any point in time. As per Skyhigh’s research, the cloud can help companies with collaborative tasks, file sharing, content sharing, and data security. The average employee uses 36 cloud-based services in their daily schedule. Integrating cloud computing and marketing strategies, small enterprises can compete with industry giants, save costs, improve productivity, and streamline workflows.
Easy Data Accessibility
In the modern world, data is king. When you promote your products and services online, you are not communicating with your target audience in person; hence, you need to find a more brilliant way to learn about your target market. The experts at Outreach Monks say the ideal way to drive decisions from the target audience is by thoroughly knowing them. When you have essential customer data, you see the demand of your target audience and their expectations from your products or services. Thus, you may track and store much data captured from the surveys, questionnaires, events, advertisements, etc., and monitor their interest. However, manual efforts to store and organize all of this information can be laborious and time-consuming. A cloud data center offering cloud computing services for marketing makes it easy to store, manage and access your data, making remote work possible. The cloud allows you to improve collaboration and communication both within the team and with clients. Additionally, the risk of data loss is negligible.
As compared to the legacy data storage method, cloud computing allows more cost-savings. As a marketer, when your primary focus is minimum investment, a collaboration of cloud computing and marketing techniques is the best choice for you. As saving cost is one of the primary motives, with cloud computing, you no longer need to set up and pay for expensive infrastructure, hardware, or licensing fees to store the crucial marketing data. In addition, you have the option to automate the processes and improve efficiency and save time. Hence, cost-efficiency is a direct benefit for enterprises that trust the cloud for their digital marketing strategy.
Enhanced Data Analytics
Marketers have a vast collection of actionable, real-time customer data in-store. However, arbitrary data is not helpful unless marketers have the correct tools to analyze and extract valuable insights. The marketers can leverage cloud-based data analytics tools to track leads, evaluate new marketing channels with negligible risk, and determine the fundamentals of marketing strategy that is the best suite for the target audience. Further, with SaaS platforms like cloud-based CRM applications, it is easier to keep track of the needs of prospects and customers. Based on a survey by Fortune Business Insights, the global cloud analytics market size recorded USD 13.15 billion in 2018 and is estimated to reach USD 72.40 billion by 2026, at a CAGR of 24.3% during the forecast tenure.
Valuable Insights for Engaging Content
Apart from providing information about the target audience, the cloud-empowered data analytics tools also serve vital insights on the content to attract prospects. Marketing content is the key motivational factor behind inbound marketing that engages the audience and helps them decide whether or not to purchase products or services. Hence, ensuring the quality of marketing and business content is the route to client engagements and conversions. Cloud-based data analytics tools help you recognize the best-performing content and provide information about the customers' interaction with that particular content piece. Further, it can also identify strategic modifications made by the marketers to attract more customer attention. In addition, the power to effectively analyze and utilize the insights helps in effective decision-making.
Expands Inbound Marketing Tactics
Along with the content, social media engagement is amongst the most vital elements of the marketing strategy. The popular cloud-based platforms such as Facebook, YouTube, Twitter, and Instagram serve massive scope for empowering inbound marketing. Since these platforms are the receiver of massive user traffic every day, they prove to be the best tools for expanding the business reach. Thus, you get an opportunity to amplify their products and services through digital marketing with the adoption of cloud computing.
Efficient Time Management
The cloud computing tools allow you to control content and deploy strategies without any dependencies on other departments, allowing you to save time. As a result, cloud computing and marketing jointly help you improve processes, streamline the operations, stay focused and implement strategies more rapidly. Because, once you reduce the departmental interdependencies, implementing marketing plans and goals becomes more manageable. Additionally, the cloud-based systems have a nominal learning curve, and hence it cuts down the extra time taken for training new joiners. Thus, the automation of marketing operations empowers you by saving time. As a result, you can now shift your efforts to the other critical aspects of the business.
Improved Data Security
Cloud computing helps to provide a secured environment for digital marketers. Every piece of customer data that your digital marketing team stores is crucial, and you cannot afford to lose it. By integrating cloud computing and marketing, you can eradicate the chances of data loss, and thus, data security has greater significance towards your business growth. According to Salesforce, 94% of businesses experience significant online security improvements after shifting their data to the cloud. Data security and reliability matters when dealing with customer information. Otherwise, you may lose your customers' trust impacting the reputation of your business. Cloud services allow your organization to manage your customers' data, and it is critically important to maintain synchronization with data privacy regulations and compliance. Salesforce also attests that a massive 91% cloud helps to deal with government compliance requirements.
For the digital marketing process to work perfectly for your business, you have to use multiple tools concurrently with specific techniques. These tools may comprise PR marketing, email marketing, digital advertising, web analytics, and many more. You may also look forward to connecting with the right influencers to have maximum impact on your target audience. However, you may lose out time in the process. Thus, cloud computing and marketing collaboration requirements arise where cloud computing can help you streamline productivity using these techniques. It can help identify and reach the right influencer by saving your time to improve your customer reach.
Brings in Innovation
Marketers get exposure to several new marketing tools for enhanced accessibility, processes, and analytics when they integrate cloud computing and marketing. These tools effectively save time and energy, resulting in more bandwidth to focus on innovation. Now, you can have more time to research the target audiences, understand their interests, and spend more time creating innovative campaigns to connect with the customers. As a result, you can expand the reach of the business. By default, innovation in marketing positively impacts sales and drives comprehensive growth for the organization.
Why are Marketers inclined towards controlling their data?
The COVID-19 pandemic toppled traditional means of doing business and communicating. The recent CMO survey reveals that 72% of the marketers report that the significance of marketing has increased during the pandemic year. Thus, controlling customer-critical data to churn it into valuable insights is the priority for marketers. With the adoption of innovative and advanced techniques such as cloud computing services for the marketing landscape, they find practical solutions to utilize their data for the dynamic trends of the marketing world. Ever since Big Data has attained global focus, it has attracted marketers- big-time. It can provide valuable insights for solutions to all kinds of business problems. Today, data is the key to tap success in the business and marketing world.
In a Nutshell
When two of the intrinsic departments (Marketing and IT Departments) of your business team up, success is inevitable. Undoubtedly, several long-lasting benefits come from integrating cloud solutions with your digital marketing strategy. However, the incorporation may require an initial investment by your organization, yet its outcome is worthwhile. Therefore, businesses today should completely utilize the opportunity to mix cloud computing and marketing to design effective digital marketing strategies. The best tactic is to leverage cloud-based apps to help assess and optimize marketing strategies to place the right content in the proper forum and comply with all the rules and regulations. In a recent interview with Media7, Eric Sleeth, Senior Marketing Manager at Veriday, said, "With the battles and changes around privacy legislation, advertising, and cookies, there will be a major upliftment that all organizations need to go through to learn new technology and tactics to adapt to these changes."
What is Cloud Computing and Marketing?
Integrating cloud computing services with digital marketing is an innovative step to empower marketers to utilize advanced technology and innovate their marketing strategies. The combination of cloud computing and marketing can help to upgrade the marketing strategies of an organization. Moreover, it also offers easy data accessibility, flexibility to scale, price management, valuable marketing insights, security, time efficiency, and innovation.
Is cloud computing and marketing effective for small businesses?
Cloud computing provides a robust platform for all sizes of businesses, allowing them to engage with a wide range of prospects, and grow marketing resources at the same pace. It equalizes the opportunities so that small businesses get identical exposure as their large-scale peers. Hence, cloud computing and marketing are equally effective for small businesses as the industry giants.
How can cloud computing help to connect with the target audience?
For marketers, the cloud is an all-inclusive, ready solution, which provides on-demand services to marketers. It provides valuable data analytics which helps to understand the needs and demands of the target audience. It also offers insights on effective content that attracts the customers and allows the marketers to improvise their strategies to reach prospects.
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Article | April 8, 2020
Nowadays, most businesses across the globe are leveraging cloud technology and its advanced natives, such as machine learning and artificial intelligence (AI), to pave their path towards success. As per Analytics Insight, Machine Learning would record revenue of US$80.3 billion by the year 2023, with a CAGR of 33.6% from 2020. This article, explains the effects of integrating machine learning in cloud computing and how it helps make future-proof decisions, create innovative solutions, and drive organizational success.
Machine Learning (ML) is one of the subgroups of artificial intelligence. It helps infer effective business decisions to attain digital presence in the market by providing valuable insights from disparate organizational data.
“AI works effectively because extremely high volumes of high-quality data drive it. So, identifying and collecting data, and making that data meaningful, is an integral step in the machine learning process.”
Jaime Punishill, CMO at Lionbridge said during an interview with Media 7.
Importance of Merging Machine Learning in the Cloud and Some of the Enterprise Case Studies
Machine Learning utilizes the resources of the cloud to optimize the industrial sectors. On the other hand, cloud computing provides scalable and cost-effective resources to leverage a considerable amount of data for processing to run ML-enabled systems efficiently. As a result, combining machine learning with cloud helps to optimize the capacity of both.
Let us quickly run through some of the stimulating effects of merging machine learning in cloud computing.
Detect and Protect Business Ecosystem
According to the IDG Survey, almost 80% of IT security leaders believe their organizations are susceptible to cyberattacks despite augmented investments made on IT security to accommodate the advanced distributed IT framework. Today, most business leaders are aware of security threats because of various cloud-native and web-based modern applications. In addition, by merging machine learning in cloud computing, companies are developing intelligent security applications to protect organizational data from vulnerable malpractices.
How an Advanced Approach by McAfee Endpoint Security 10.5 Helped a Leading Insurance Company Safeguard its Sensitive Data?
For an insurance company, securing their customers’ sensitive personal data without compromising customers’ experience is imperative. And there lies the primary challenge of any IT security measure, where the traditional silos approach doesn’t work anymore. In this case, you need robust and automated solutions powered by advanced technologies, such as machine learning. Eventually, to solve this, McAfee deployed McAfee Endpoint Security version 10.5, and as a result, the company’s IT help desk started receiving 80% lesser tickets. In addition, the insurance company is now enabled with cloud-based Real Protect machine learning behavioral analysis technology that helps enhance overall security capabilities and stand against the rising risk of security breaches.
Cloud-Based Cognitive Technology
Integration of machine learning in cloud computing makes cloud data the source of ML algorithms for cloud-enabled businesses. ML algorithms utilize the cloud data and modify the cloud archetype to cognitive computing. Cognitive computing technology is one of the emerging trends. Businesses are inclined to deploy cloud-based cognitive technology because it helps to grow their revenue, enhance operational efficiencies, and cater to real-time use cases in a cost-efficient manner.
How Does IBM’s Watson Help Banking and Financial Sectors?
IBM’s Watson is one of the ideal examples of cognitive computing. Assisting the banking and financial sector, IBM’s Watson is a question-answering system, which receives unstructured data in the form of questions and provides humanized answers. Furthermore, Watson can differentiate its limits and route it to respective resources whenever human intervention is required. For example, IBM Watson has helped the Royal Bank of Scotland develop an intelligent assistant proficient in handling 5000 queries in a single day.
Predictive analytics uses predictive models that are typically machine learning algorithms helping to make accurate predictions of your business outcomes. Playing a crucial role in cloud computing helps to optimize cloud infrastructure, take proactive measures to envisage downtime or infrastructure performance issues. Further, predictive analytics play an intrinsic role in merging the structured and unstructured data from diverse and distributed networks in multifaceted cloud environments.
How WNS Helped a Globally Acclaimed Hotel Chain to Retain its Timeshare Members by Leveraging Predictive Analytics?
For hotels, it is crucial to retain their timeshare members. However, experiencing a high attrition rate among its timeshare members, followed by nonrenewal or membership cancellation, started denting the hotel chain's reputation.
WNS recommended an approach based on the principles of the predictive analytics approach for a better understanding of the behavior of the members. They created complete member profiles based on demographics, duration of membership, and transactional patterns. Implementing statistical analysis to generate probable attrition scores for every member helped to divide members into high, medium, and low attrition groups. Further, identifying the attrition drivers by deploying a logistic regression model was also a part of this exercise. All these drivers helped to predict the members' behaviors in the future.
As a result, the insights empowered the hotel chain to employ marketing campaigns targeted towards the specific audience with special promotional offers to arrest the attrition of their timeshare members.
Internet of Things (IoT)
Internet of Things is described as a network through which multiple devices (read 'Things') are interconnected via the internet. IoT is adapted by technology experts worldwide. Various industrial sectors embrace the utilities of IoT devices. Further, when hosted on a cloud platform and leveraging machine learning in the cloud, IoT provides impactful real-time insights.
How Did Medium One Leverage Machine Learning to Enable Cloud-Connected Industrial Pressure Sensors?
The legacy industrial sensors couldn't generate automated real-time alerts to monitor, detect irregularity, or forecast key events. Medium One’s environment helped the customer in making data sensible to unlock its hidden insights. Medium one helped develop a machine learning algorithm for real-time predictions and alerts with historic cloud data. It enabled the cloud-connected industrial pressure sensors to correlate events smartly and monitor remotely.
Chatbots and Virtual Assistants
Chatbots and personal assistants are innovative examples of machine learning in cloud computing collaborations that dominate personal and corporate ecosystems. Intelligent cloud-based virtual assistants like Siri, Alexa, Cortana interact with you just like any other human being and perform several operations, as per your command. These chatbots are AI-enabled, operate on machine learning algorithms in the cloud computing framework. Further, they use natural language processing technology, predictive analytics, and sentiment analysis to learn from the inputs and engage in real-time conversations.
How Oracle Intelligent Bots Reduced Call Center Wait Times?
During the release of senior school exam results in the summer, the inquiry center of the University of Adelaide received massive traffic from the existing and prospective students. A significant part of that traffic was to enquire about their grades and admission facilities, respectively. The university appointed Rubicon Red, an Oracle cloud consultancy, to build a chatbot based on artificial intelligence (AI), machine learning, and natural language processing to meet this surged demand. The bot is supposed to handle the first line of inquiry when calls come in, relieving human agents' load. Rubycon Red leveraged Oracle Intelligent Bots to create an intelligent chatbot. The deployment was a success that resulted in 40% reduced traffic and 97% less wait time on the university's inquiry service (call center).
The merger of machine learning in cloud computing enables organizations to leverage their massive organizational data in deriving valuable data-driven insights and accurate predictions by analyzing the trends and patterns of the data. Machine Learning helps businesses to understand their target audience, automate their business processes and develop advanced products per market demand. As a result, it drives the success of a company and helps them to stay competitive.
Frequently Asked Questions
How is Machine Learning Used in Cloud Computing?
Cloud-enabled businesses can leverage the vast data and utilize advanced machine learning technology to determine, compute and predict valuable futuristic insights about their business. As a result, it helps to scale the efficiency of the cloud within a cost-effective reach.
Is Machine Learning Important for Cloud Computing?
Machine Learning leverages cloud data and derives insightful information out of it. It computes the data to provide future forecasts and helps the businesses to take necessary actions on it. As a result, adopting machine learning applications are crucial for cloud businesses.
What are the benefits of Machine Learning on the Cloud?
Businesses can experiment with their processes using machine learning on the cloud and then scale up as demand increases. Further, the pay-per-use model makes a cost-effective solution to the company without unplanned expenses.
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