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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.

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.

Cybersecurity trends to watch for in 2021

Category: Artificial Intelligence, Cyber Security, Deep Learning, Machine Learning

“Cybersecurity is a new area where equality will exist to allow intelligence to succeed”. – Ian R. McAndrew, PhD

The advent of new technologies poses serious security threats due to increasing cybercrimes and attacks by cyber criminals. Inorder to mitigate the threats and vulnerabilities in the cybersecurity landscape businesses can embrace Artificial Intelligence in their modus operandi. Let us look at some of the key implications of AI in Cybersecurity.

AI helps in faster detection of cyber risks and augments the recovery rate in the event of any cyberthreats through analytics and integrating the data sources with threat intelligence. AI sources huge amounts of risk data through research, blogs etc and provides sharp insights about cybersecurity alerts that helps in effective surveillance and staying ahead of any potential threats by raising the standards of Cybersecurity framework. Latest technologies like Machine Learning and Deep Learning techniques help in deciphering cyber risks and provide valuable inputs related to IP addresses of fraudsters and criminals. Security analysts can make informed decisions on the malicious code based on the inputs provided by AI and this saves the time and effort required to pursue large data sets for the cybersecurity professionals.

Due to the skyrocketing costs of recovering the system from data breaches, businesses need to be prepared to handle any advanced cyber attacks in unforeseen circumstances. Creating a multi layered security system will help in securing the network infrastructure resulting in tightened control and adherence to compliance protocol. AI powered security tools and modern firewalls helps in proactive monitoring of network traffic and identifying the malicious file. Antivirus software can be used to remove the malefic content and viruses in the network infrastructure followed by regular backup procedures for demonstrating effective resilience and disaster recovery.

AI and Machine Learning can be used for automating threat detection and building threat modelling by leveraging on observational data indicators. Deployment of powerful AI tools like Expert systems and neural networks would help in deploying threat models for identification of cyber threats. AI and Machine Learning helps in consolidating the knowledge with the help of data analytics for building effective threat models. Business leaders and cybersecurity professionals need to actively engage in building a strategic framework for risk and management for safeguarding any cyber attacks like data poisoning in federated learning and circumvent malicious participants.

Cyber criminals use sophisticated techniques like distributed spam distraction, phishing etc.. for digital attacks with malefic intent. Such digital attacks can take place through emails or email attachments posting false URLs for the purpose of data mining and inflicting malware into the system resulting in financial frauds through business email compromise. The Machine Learning capability in AI helps in blocking the access to malicious links by scanning the images of the fake login pages and using visual indications to establish the genuineness of the login page. AI uses behavioural analytics and secured authentication to identify any fraudulent attempts in the digital landscape. AI upgrades it’s capabilities for detecting any phishing attacks from open source intelligence and it’s identification of phishing efforts breaks all geographical barriers and boundaries.

Development and promotion of ethical guidelines for AI systems would make it more reliable by promoting a culture of transparency, data privacy and adherence to safety standards. Businesses and researchers should be open for sharing ideas related to research carried out in AI for free flow of information and exchange of new ideas. This will help in raising the bar for reaching better heights in the use of the AI in Cybersecurity through collaborative efforts and research work for countering any sophisticated cyber attacks in the future. Businesses need to identify the scope of AI in their business and ensure that adequate testing is carried out before deploying AI. This would help in unearthing any potential risks and flaws that would go unnoticed.

Conclusion

Disposition of AI in cybersecurity provides critical information about potential threats and vulnerabilities. Businesses can now manage the cyberattacks proactively and minimize their threat exposures that help in ensuring business continuity by demonstrating their resilience. AI can help in identifying gaps in the security framework by analysing the effectiveness of infosec controls. Prescriptive controls offered by AI would help in building robust controls and enhancing the quality of cybersecurity governance. At Newlineinfo Corp have a dedicated workforce and driven by our passion to provide world class service delivery to our clients and stakeholders.

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