Tag: Robotic Process Automation

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.

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.

Impact of Artificial Intelligence on Society

Category: Artificial Intelligence, Business, Machine Learning

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” – Larry Page

Artificial Intelligence (AI) has far reaching capabilities to address the challenges faced by society. Governments and regulatory bodies need to look at the benefits that can be derived from AI and put them to optimal utilization for achieving the desired results. The strategies deployed would be applicable not only for emerging countries but also for advanced nations of the world. Let’s look at some of the ways by which AI can be applied to different walks of life for creating a positive impact on society.

The evolution of Artificial Intelligence has fueled economic growth and innovation through digital empowerment. Businesses across the world need to motivate and equip their staff with future proofing skills like automation, machine learning and data analytics. This would help in fostering a culture of technical and financial inclusion and reduce the digital divide among nations. Policy makers, researchers, business leaders need to collaborate with each other for inclusive growth and development of new products and business models which can result in development of human capital and reduction of costs through automation.

Natural disasters like floods, earthquakes, cyclones could result in loss of lives, environmental damage and disruption to social and economic activities. AI helps in preparedness measures for planning and execution of crisis management by capturing and analyzing large amounts of satellite images within a short span of time. It can also support emergency response teams by modelling disaster zones for providing timely travel advisories, and mobilizing resources for finding citizens. Flood forecasting alerts can be shared in the regions which are impacted through inundation models and machine learning supplanting the traditional methods of manual forecasts.

Climate change is one of the major challenges faced by planet earth. AI helps to mitigate the impact of climate change by developing predictive models for environmental monitoring. It helps homeowners for designing energy efficient buildings and optimization of renewable energy. It helps in climate modelling by monitoring the rise in sea levels and ice sheets. Deforestation, climate change and usage of chemicals and fertilizers have a serious impact on the degradation of topsoil. Conservation of soil is extremely critical for preservation of farmable lands. AI helps in monitoring soil erosion and keeping the soil health at check with the help of complex algorithms and drones. It can help prevent illegal logging and catch wildlife poaching for building sustainable biodiversity and ecosystem.

The enhanced monitoring and diagnostic features of AI is a game changer in the field of healthcare. It helps in detecting diseases at an early stage for prescribing personalized treatment plans and drug protocols. It enables free flow of information electronically across medical facilities which helps in enhanced efficiency by reducing time delays. AI helps in identifying cancer, heart diseases and supports in delivering critical healthcare needs for patients suffering from trauma. It provides high end affordable healthcare through digitization and remote solutions.

Conclusion

We at Newlineinfo Corp have a dedicated team of highly skilled AI professionals capable of harnessing the power of AI for delivering scalable solutions that can build a better society.

Trends in AI – How to Prepare for AI Success

Category: Artificial Intelligence, Business, Machine Learning, Management

”Artificial intelligence and machine learning, as a dominant discipline within AI, is an amazing tool. In and of itself, it’s not good or bad. It’s not a magic solution. It isn’t the core of the problems in the world.” – Vivienne Ming

Artificial intelligence coupled with Machine and Data Learning has become an integral part of our lives and has gained acceptance across multiple industries covering biomedical intelligence, gaming, commute and financial services. Despite its far reaching advantages and benefits, organizations across the world are still grappling with multiple challenges to foster a culture of innovation that would drive enterprise level change and set the framework for growth and sustainability. Let’s look at some of the ways by which organizations can prepare themselves for successful implementation for AI for achieving competitive advantage in the future.

Before embarking on this AI journey, businesses need to review their existing processes for identifying any potential issues that need to be prioritized. Leadership team needs to have a clear agenda to fix these issues before making large investments into AI. There is a high probability that the implementation of Artificial Intelligence could result in automating some of the manual and repetitive tasks resulting in better workflows. However the top of the house issues or challenges could still remain unattended. In order to achieve a flywheel effect, businesses should view their operations holistically and not look at sporadic gains and one-off initiatives. This would help in transforming end customer experience through digital innovation and better product offerings.

The leadership team needs to defend their traditional ways of reporting and embrace new ways of developing well defined frameworks for building effective forecasting and modelling tools. Creating AI Models would help in predicting demand and supply changes for delivering customer centric solutions. Based on the demand projections companies would also be able to forecast their threats and opportunities that lie before them. Leadership team can make use of these insights for strategic planning and accelerating their investments in AI.

Leverage on the expertise of the digital workforce to transform raw data into actionable insights for achieving best results. However this cannot be done without acknowledging some of the key risks associated with AI that include data and bias risks. When they are not handled properly, these risks can cause severe damage to the reputation of the organization. Data is the lifeline of AI. While handling large volumes of data, businesses need to focus on ensuring that there is protection of customer data by enhancing their defenses against cyber threats and vulnerabilities.

Employees could fear job losses due to digital automation and replacement of many tasks with AI. This could impact employee morale resulting in poor performance and dwindling productivity. Before implementing AI, business leaders need to have regular discussions with their employees and restore their confidence in AI. Communicate openly with all staff members about the change and impress upon them the benefits associated with it. Capitalize on the skills and experience of staff members for creating focus groups and conduct training programs for making them future ready with digital competency. New jobs would need to be created for development, maintenance and management of AI systems. Collaborate effectively with all the key stakeholders and set transparent goals for achieving excellence through mutual acceptance and alignment towards organizational goals.

Conclusion

We at Newlineinfo Corp are committed towards future proofing our digital leadership by operationalizing data analytics and AI for achieving scalability and excellence in service delivery.

The Secret to AI Strategy – People

Category: Artificial Intelligence, Business, Deep Learning, Machine Learning

”Today’s AI is about new ways of connecting people to computers, people to knowledge, people to the physical world, and people to people.” – Patrick Winston

The advent of Artificial Intelligence has transformed the way businesses around the world are carrying out their operations. Companies which have fostered a culture of change and innovation have enhanced their corporate earnings and profitability through digital outreach that impacts their clientele. In order to competitive advantage, businesses need to reinvent themselves and be prepared to change their traditional mindset of treating AI as yet another plug and play technology through organizational transformation. Let’s look at some ways how this can be achieved by building a four layer framework.

The first layer in this multi pronged approach starts with having the right vision and the intent to achieve the desired organizational goals. Companies need to broaden their vision and look beyond the financial metrics for institutionalizing human centricity complemented by super human intelligence through Artificial Intelligence. Human centered Artificial Intelligence would help businesses overcome their challenges through strategic solutions and problem solving. AI is not going to replace humans but on the contrary leverage on human expertise and experience to achieve sustainable business growth and efficiency. Businesses need to achieve scalable business models by future proofing themselves through digitization and automation.

The second layer in achieving transformation through AI is through integration. Businesses need to bring about structural changes in the way they operate. Leadership team needs to review their organizational hierarchies and make concerted efforts to transition towards flatter structures that can help in vertical and horizontal integration of the workforce. Silos needs to be broken for drawing on the capabilities of different units within the organization. This would help in free flow of ideas and exchange of information resulting in unlocking hidden human potential and creativity. Build cross functional teams that consist of talented individuals who can brainstorm and provide innovative solutions for building customer centric products and adding value to the digital enterprise.

Next comes the Implementation phase. Implementation of AI poses multiple challenges like trust deficit, communication and behavioral issues. In order to overcome these challenges, think tanks of the organization need to connect with their employees on a regular basis to allay any fears of job loss due to implementation of AI. The leadership team needs to reinforce their faith in AI by helping their team members understand the vision and positive influences of this change. Site visits can be arranged to other companies who have implemented AI to quantify its benefits. Businesses can also look at running pilot projects in their operations that would help in socializing this change across different sections of their workforce for gaining acceptance and shedding any unconscious bias.

The final layer is Indication. Traditional productivity measures need to be flexed for building aspirational metrics. For tracking and measuring the performance of AI, businesses need to leverage on specific metrics like Key Performance Indicators like OKRs. The objective of the Objectives and Key Results (OKR) framework is to set transparent goals which are specific and measurable. OKR encourages team members to align themselves to their organizational goals. Leadership team needs to empower and motivate their teams to maximize their performance by incentivizing innovation and recognizing their efforts. This would bring about a culture of acknowledgement that would result in delivering high quality performance and superior business outcomes.

 We at Newlineinfo Corp have a highly engaged team committed to deliver scalable business solutions to our clients by harnessing the power of AI in the digital ecosystem.

How to Compete in the Age of Artificial Intelligence

Category: Artificial Intelligence, Branding, Business, Machine Learning

“A company’s approach to value creation requires consciously choosing the precise problem it is solving for the customer and its positioning in the marketplace.”― Marco Iansiti

A peep into the annals of history would tell us how the industrial revolution transformed economies that were erstwhile involved in agriculture and handicrafts into large scale manufacturing through mechanisation and factory system. AI factory is now driving yet another industrial transformation by gathering large data, effective decision making and digitising the operations of the 21st century firms. 

Artificial Intelligence is set to transform the modus operandi of businesses and the leadership team needs to reinvent themselves to foster a culture of change and innovation for building sustainable business models that deliver long term growth and prosperity. The advent of AI has set the pace for the dynamic change in the digital ecosystem and all organisations are vying with each other to gain a competitive advantage in the future landscape. Let’s look at some of the ways by which business can deliver superior performance by making revolutionary changes to their operations by leveraging on the strengths of AI

The use of AI is spread across different industries like mobile payments, lending, wealth management, health insurance, credit rating services. These businesses are handled by high end algorithms with the help of sophisticated analytics that remediates concentration risks in niche skills and creates a platform for learning and development. Once AI is designed and deployed, there is a huge potential for generating value through digital automation across the run time. The programs built on the digital core helps in identifying tremendous opportunities for growth across different businesses and reduces the need for human intervention. 

Traditional organizations are confronted by the far fletched outreach of AI and need to revisit their operations to compete with the digital revolution. Traditional processes involve a people centric approach in operations management. Traditional companies need to revive their constraints in their workflow and look at different ways of adopting AI driven techniques that would help in remediating their bottlenecks. This would help in revamping their operations resulting in better value proposition for their clients through digitisation and enabling customer centric business offerings. Scale, scope and learning are considered as key enablers that help in achieving higher productivity and optimal costs. Traditional firms run the risks of diminishing returns due to archaic operating models which are dependent on human, labor and decision making. Reinventing traditional businesses with the help of analytics and data driven AI algorithms would help them build a competitive edge over others in the emerging digital ecosystem. 

The genesis of AI has given rise to a new age digital operating model called AI factory. AI factory follows a scientific approach in decision making by converting internal and external data into valuable insights for forecasting and projections. Businesses start to function differently and can relate to other digitized firms for developing custom models for predicting customer behavior and providing tailor made solutions. AI factory covers key components like data pipeline, development of algorithms, platform of experimentation and adequate software infrastructure. The transition from traditional to AI based organization requires a concerted effort and the leadership team needs to be wary of risks like loss of privacy and threats in cyber security. Unconstrained growth can be dangerous in the long run and could result in  social turbulence due to dislocations, inequality and market concentration. The change needs to be well defined and comply with the regulatory standards and guidelines laid down by governing bodies. 

Conclusion

We at Newlineinfo Corp are equipped with the skills of the future and set to expand our digital footprint through enterprise driven innovation and cognitive solutions. 

Changing Business Dynamics in IT Staffing and Consulting during COVID

Category: IT staffing and consulting

“Time spent on hiring, is time well spent.” – Robert Half

The IT staffing and consulting industry is not immune to COVID 19 situation and has been badly hit by this pandemic.

The employers are looking at different hiring patterns that would enable them to rethink their current talent management strategy and look at new ways of hiring and retaining talent.

With social distancing becoming a new normal, in-person meetings have become the thing of the past and the job interviews are being conducted remotely by phone or video conferencing methods.

Due to dwindling interpersonal connect, HR companies are embracing the digital landscape through teleconferencing, webinars and podcast channels to stay digitally connected with their employees during the on-boarding process.

Companies are looking for people who demonstrate the ability to learn quickly and keep pace with the digital transformation for long term sustainability.

In order to be future ready companies need to adapt themselves with cutting edge technologies like Artificial Intelligence, Machine learning, Robotic Process Automation and reassess their workflows for identifying possible automation opportunities. This would require the new age workforce to up-skill themselves with emerging technologies & be digitally savvy.

The imbalance created by COVID 19 in the staffing ecosystem can be handled effectively through cross functional skilling due to shifting workforce demands.

Conclusion

We at Newlineinfo understand the changing business dynamics and are committed to providing effective staffing solutions by leveraging on the emerging opportunities that enable business drivers for the future.

How RPA benefits your business growth

Category: Business, IT staffing and consulting

“The relationship between technology and people has to change in the future for the better, and I think RPA is one of the great tools to enable that change”. – Leslie Willcocks

Robotic Process Automation has become a new normal in the ways business carry out their operations and many organizations around the world have started embedding RPA tools and techniques to transform their operations due to its far-reaching benefits.

RPA works on a set of predefined rules and it’s used structured and unstructured data to handle repetitive tasks that were erstwhile carried out by humans. It frees up the time and space for the digital workforce and has enabled them to focus on delivering value-added services to their customers.

Key businesses where RPA is trending and is set to make sweeping transformations are covered below.

Finance: RPA uses technology like UIPATH and Blue Prism to automate repeat functions like preparation of customer invoices, managing and reconciling vendor payments, account payable processes with limited human supervision. This will result in a reduction of errors, end to end cycle time, adherence to the standard operating model, and enhanced customer experience.

HR: RPA offers tangible solutions in the field of HR and can transform the way organizations, onboard employees. The employee hiring and onboard process involves a set of tasks and undergoes multiple iterative rounds of email exchanges between the hirer and the candidate. Implementation of RPA will transform this process by reducing the onboarding time and manual errors associated with this process resulting in a seamless onboarding experience with minimal lead time. HR functions will also reap the benefits of RPA by extending their capabilities in other HR activities like training, employee engagement, etc.

IT: IT service sector is entrusted in handling critical business activities and any disruption in its activities will result in huge financial loss impacting all stakeholders. RPA will play a significant role in mitigating this risk by ensuring continuity of business through scheduled maintenance of critical infrastructures like server reboot, server configuration resulting in reduced downtime and system outage. RPA will also transform the ways of other IT enabled services like creation of email ID’s, management of security credentials and data backup and archival are handled manually, through automation and standardization.

Insurance: Insurance space is growing rapidly and a lot of its operational activities are still manual which makes it a natural prospect for automation. Repetitive processes like policy servicing, cancellation, and claims management give tremendous automation opportunities with the help of RPA resulting in reducing operational risks and faster TAT. This will also result in providing a robust audit trail and regulatory compliance. RPA will also help in providing scalable solutions to meet the dynamic demands of its clientele.

In future businesses will need to adapt themselves to market dynamics and keep pace with the technological changes like RPA which would enable them to re-invent their core competencies and restructure their modus operandi. This would fit them out with the competitive edge needed to meet the growing demands of their customers resulting in enhanced profitability.

Newlineinfo Corp would look at various options in leveraging RPA techniques and deploying them in its modus operandi in a bid to gain a competitive edge.

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