“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.
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.
”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.
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.
”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.
“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.
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.
“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.
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.
“Technology is not to be feared; it is only to be understood.” – Carolina Varela Rodríguez
Covid 19 continues to pose multiple challenges in the field of healthcare and the medical fraternity is struggling with the emerging trends in transforming healthcare through the digital revolution. Healthcare experts have come up with innovative ways of treating patients with the help of well-defined strategies that would deliver the much-needed succour and reinstate the confidence in people by allaying their fears. Let’s look at some of the state-of-the-art technologies that have pioneered a paradigm shift in the areas of healthcare and medicine.
Telehealth is a game changer, that enables active monitoring of patients by monitoring their medical condition remotely and prescribing medicines based on the evaluation carried out. Remote diagnosis & monitoring of health conditions of patients helps in improving clinical workflows & medical practice efficiency through effective patient engagement with easier accessibility. Examples of Telehealth include monitoring of vitals, blood pressure, ECG of patients and treating them remotely with the help of medicines. Continuous monitoring of health conditions with the help of digital monitoring through mobiles, computers helps in identifying any changes in critical health parameters and provides the necessary treatment and clinical support through digital imaging and telecare. Digital enablement has made healthcare more accessible and patients can get the required medical advice at ease with enhanced healthcare experience through synchronous care and otherwise.
Digital Clinical Workspaces
Digital Clinical Workspaces have made pathbreaking changes in the delivery of healthcare. This technology in healthcare helps in providing advanced and personalised care with better efficiency and turn around time. Digital workspace helps in creating a robust electronic health record about patient medical history along with their personal information. The mobility solution helps in streamlining the longer clinical workflows and helps in spending quality time with the patients that reduces the risk of readmission. Anytime, anywhere access to patients track record and medical history helps in providing seamless healthcare solutions with clinical precision. This also provides the impetus to embrace new digital technologies in the healthcare space.
In order to sensitise and expedite healthcare processes during pandemic, Medical Chatbots have been introduced. Medical Chatbots are powered by Artificial intelligence that helps the patients in connecting with the insurance companies and healthcare providers. It also helps in resolution of queries and concerns raised by the patients by making the relevant healthcare information available to all the stakeholders concerned. Such health bots also provide real time assistance on diagnosis of symptoms and recommended treatments with therapeutic information. This also helps in quicker information sharing and accelerates the pace of decision making during a pandemic.
Data Analytical Capability
Healthcare companies need to upscale their data analytical capability in order to be future ready, in the event of any unforeseen, pandemic. Analysis of large volumes of medical data could provide pathbreaking details into identifying any patterns relating to pandemics and endemics that can offer predictive insights about tracing of contacts, medical readiness and outcomes. Artificial intelligence and Machine Learning techniques need to be imbibed for faster and accurate diagnosis of diseases and providing immediate assistance in the areas of pharmaceutical initiation, medical research and development of medicinal treatments for the control of outbreak.
We at Newlineinfo are committed to the wellbeing of our staff and continuously strive to provide the health care support and medical assistance required for tiding over this crisis situation with minimal impact to all our stakeholders.