Category: Data Management

Top 5 Content Marketing Trends to watch out for in 2022

Category: Artificial Intelligence, Business, Data Management, Organisation, Others, SEO, Technology

“You need to create ridiculously good content – content that is useful, enjoyable and inspired.”- Ann Handley

Content Marketing plays a pivotal role in connecting with customers and earning their trust by providing meaningful information about the product offerings. Customers would review the content and make their buying decisions based on the value and merit of the content which is available for consumption. Businesses are trying to woo the customers by adopting different strategies that can increase their wallet share significantly. Let’s look at some of the key content marketing trends which are creating a buzz by capturing the attention of the customers in the digital space.

In order to build a successful customer journey, businesses need to build a healthy business model. Achieving customer success would involve a series of steps ranging from customer development, acquisition, client onboarding, engagement and retention. The Content Marketing team needs to understand the criticality of customer retention which is imperative for building long term customer relationships and driving sales growth. Keeping the website abreast with latest information about the products and services would help in enhancing customer experience. Engaging with customers through newsletters, providing up to date information on promos, product launches and any discounts offered would attract even the detractors that could result in better conversion rates.

Leverage on emerging trends like augmented reality for driving better sales volumes and enhancing the brand value. Prospective customers would want to try the products before they make the decision to buy them. Augmented reality provides an engaging shopping experience for customers through interactive features that helps in identifying the customer needs and engaging with customers for providing a unique personalized experience.

Artificial Intelligence (AI) has revolutionized the content marketing landscape in the era of content overload. Customers can now interact freely with BOTs in the websites for getting the required information. BOTs have the ability to converse and have real-life chats with customers and provide the information within a short span of time. With the help of AI, content marketers would be able to understand and track customer behavior by building custom models through predictive analytics. Digital marketing strategists can now create relevant personalized content that can add value to the customers.

Podcasting is yet another content marketing strategy that has become immensely popular thanks to its outreach and client coverage. Podcast is an invaluable marketing channel capable of delivering series of audio content at regular intervals with adequate information for the target audience. Due to the enhanced connection and deeper penetration, Podcasts have turned out to be an effective content marketing tool with a human touch. It can be collaborated with social media and can complement blog content in the form of audio messages.

Search Engine Optimization (SEO) is the new age mantra for enhancing the value of content marketing. SEO would help in increasing the visibility of content by driving more traffic to the business website. It primarily deals with On-page and Off-page factors. On-page factors broadly cover optimization techniques like Title tag, Meta description, Headings, URL and Page content that can impact search engine rankings. Some of the Off-page factors include Backlinks, Brand Mentions, Social Shares and Domain Authority which are actions taken outside the website which may not be easily controllable. SEO provides the technical flavor in Content Marketing for achieving loyalty and trust in customer journey.

Conclusion

We at Newlineinfo Corp are focused on new age digital marketing strategies through sustained SEO efforts for out-serving our customers and achieving profitability.

Emerging Tech Trends in 2022

Category: Artificial Intelligence, Business, Data Management, Deep Learning, Technology

“Globalization was a deep trend pushed by technology and right ideas, as much as anything else” – Jeffrey Sachs

Businesses across the globe are constantly reinventing themselves to look beyond the obvious and identify opportunities that can reshape their modus operandi for enhancing their growth and performance. The business leaders need to fit themselves out for building a sustainable business and ensure distributional equity and resilience. Let’s look at some of the key emerging trends that can turbo charge the future with the latest developments in the technological space.

The onslaught of digital revolution has made the world more interconnected than ever before. In order to cope with this change, companies are fast embracing hyperscale cloud computing methodology thanks to the wide range of benefits that it offers. Hyperscale marks the advent of new age digital computing by enhancing the power of IT systems with augmented server capacity. It helps in balancing the workload across different servers and improves the cooling efficiency resulting in optimizing costs and operational expenses. Hyperscale can operate with minimal supervision and hence easy to manage with limited number of resources. It helps in minimizing the system downtime and preventing loss of client data which could result in breach of regulatory guidelines.

The use of general cloud technology has a few shortcomings and new age businesses are constantly on the look-out for mature solutions that can meet the demands of the industry. Industry Clouds are tailored to the needs of the specific industries through vertical integration. It helps in providing standard configurations and building a deeper connection with the customers. It addresses the challenges posed due to systemic risks like security protocols and regulatory requirements. It helps in delivering customized client centric solutions by trimming down redundant costs through focused spending. The genesis of industry specific cloud is an organic progression of cloud computing that augurs well for the customized needs of the industry.

Quantum computing is the one the fast emerging technologies that helps to provide valuable solutions for some of the challenges faced today. It works on the principles of quantum mechanics and has great potential to deliver superior results in the field of financial services, pharmaceuticals and transportation. It is expected to bring about a sea change in our society thanks to its ability to solve complex problems in which traditional computers are laggards. However cryptologists reckon that Quantum computing could break the current encryption standards resulting in data leakage and loss of confidential information. Quantum safe algorithms need to be developed to ensure that cryptographic standards are met adequately.

Metaverse is a universe of virtual reality that mimics the physical world through digital simulation. It uses the concepts of virtual and augmented reality along with blockchain technology for enhancing user experience. It provides a virtual environment for people to simulate their activities in their daily lives. Large industries can leverage on its capabilities to test digital samples of their machines before delving into real life activities resulting in workforce optimization and cost savings. It is set to change the dynamics of digital marketing wherein brands would need to adapt quickly to this new reality to retain their competitive advantage. Metaverse could result in major technological disruptions that can have a far reaching impact on growth, product infrastructure and business practices.

Conclusion

We at Newlineinfo Corp are focused on future proofing ourselves with emerging trends in the digital landscape by consistently looking for opportunities for innovation and delivering excellence.

How AI can help create more caring company cultures

Category: Artificial Intelligence, Business, Data Management, Deep Learning

“Company culture molds the whole organisation’s behaviour and how they work as a team. It starts with leaders and should be adopted,practiced and embodied by each individual” – Viel Merck Carillo

AI is set to transform the modus operandi of the corporate world by fostering a culture of sensitivity and compassion. Traditional approaches like intrusive monitoring, disciplinary actions etc. need to be revisited and handled with the right emotional intent and remediation. AI has the capability to mimic human emotions and behavior through cognitive empathy. This trait helps in building development of AI systems for detecting and sending appropriate responses to human emotions empathetically. Let’s look at how AI can help in creating a caring corporate culture effectively for achieving long term sustainable growth and development.

Due to the vicious pandemic, many employees have gone through a traumatic phase of their lives and experienced fear, grief and anxieties. Thanks to new ways of working, the digital workforce is now gearing up to come back to office after a hiatus. Leadership team can work towards this critical transition appropriately by leveraging AI for institutionalizing their return to work strategies. Workplaces can be optimized and redesigned for social distancing protocols. Put on the thinking caps to foresee any challenges related to communication gaps and engage in actively communicating with employees to address any challenges. Companies can also look at the assets which can be liquidated through sell offs resulting in cost saves.

Some of the employees could have lost their loved ones due to the pandemic. In order to demonstrate a human touch and show the care and concern for the team members, Artificial Intelligence can be used to remember the death anniversary of family members. Also memorable occasions like birthdays, weddings can be refreshed with the help of data mining and AI. This would help keep the emotional connect with staff members and provide extended support during times of need and exigencies.

AI driven tools can be used to identify any dip in performance levels of staff. Understanding the pain points and providing the emotional support and coaching would help in monitoring and taking suitable action during crisis situations. On the contrary there could be staff who are feeling overworked and emotionally burnt out due to excess workload and long hours at work. AI models can be used to track such trends and reduce the stress levels in the remote working environment. Managers can collaborate with their team members to understand the root cause for extended hours at work and help in providing the required support resulting in better work life balance.

Employees could have dynamic needs based on their choices in life. It could range from availing a financial loan for pursuing higher studies, flexible working options due to personal demands like child or adult care in their families. AI helps in delivering customized compensation plans based on the employee’s individual needs. It also helps in navigating through the right benefits for employees by ensuring their availability during crisis situations. Employees can also reschedule their work timings to suit their needs for a productive work life based on recommendations provided by AI.

Conclusion

We at Newlineinfo Corp are future-proofed to handle the evolution of AI for creating a digital workplace driven by empathetic leadership and compassion.

Data Analytics: Efficient risk management

Category: Cyber Security, Data Management, Machine Learning, Management

“The risk management needs to lift up from risk control to risk intelligence which can identify the potential business growth opportunities.”― Pearl Zhu

Businesses need to constantly upgrade themselves to handle the risks emerging from a dynamic environment that is fraught with risk globally. They need to do a deep dive into their risk management strategies and look at fostering a culture of change for unlocking their business potential and achieving better business outcomes. Organizations need to think beyond traditional risk management methods through organisational transformation by adopting advancement technologies like advanced analytics. Let’s look at some of the ways by which it can be achieved. 

As a first step employees from the different levels of the organization need to actively participate in this journey for building their core competency and redefining the business processes. This would help in breaking the functional silos and unearth the value of data for building effective data models for forecasting future trends through collaboration and knowledge sharing. Customer is king and leveraging on new age analytics would help understanding the changing customer behavior by establishing customer models and identifying underlying patterns. By leveraging on data mining techniques large quantities of data can be analysed for better client engagement, revenue growth and cost optimisation. Using big data and analytics would also help businesses rethink their marketing campaigns by understanding customer behavior. 

Analytics help in assessing the exposure of the organization’s risk and its ability to measure and predict likely scenarios through forecasting techniques. In this process the analysts would come across huge volumes of data which could be structured or unstructured. Structured data are more qualitative in nature that would include numbers and values sourced form online forms network and server logs etc with limited usage and storage options. These can be used with the help of Machine Learning algorithms by business users. Unstructured data include posts in social media, website, internet of things which is gaining widespread importance due to its native format and scalable storage options. The availability of data can be both internal and external to the organization. Risk analytics helps in integrating them for deriving valuable business insights vand effective decision making. 

By analysing myriads of data sets and repetitive trend risk analytics helps In identifying and detecting any threats in their businesses, example frauds. Leadership can track the changes that resulted in transformations to the industry and take appreciated actions in the midst of crisis. It would help in preventing any damage done to the corporate identity and protect the brand image of the company. Organisations need to learn from the mistakes of their past and ensure that they are not repeated. Analytics help in understanding the reasons behind such mistakes and preventing them from happening again by applying preventive measures. All companies irrespective of their vintage or size need to have a dedicated team of risk managers who can use big data and analytics to evaluate risks in real time and quickly what gears and take appreciated actions during uncertainty. Creation of alerts for monitoring deviations in real time would help in identifying any outliers for problem solving and evaluating performance. 

Conclusion

We at Newlineinfo Corp make use of latest technologies like Artificial Intelligence, Machine Learning and Internet of things for evaluation risks and manage them proactively with the help of risk analytics tools for achieving business growth and resilience.

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