Tag: Digital Transformation

In an era where digital security is paramount, the persistent reliance on passwords remains a significant vulnerability for enterprises globally. FIDO 2.0 emerges as a timely solution, reimagining credential authorization using available technologies.

Legacy credential systems, rooted in the Internet 1.0 era, increasingly expose organisations to sophisticated AI-backed cyber threats. The 15% increase in attacks against Indian organisations, now averaging 2,138 attempts per week, can largely be attributed to these poorly secured credentials. As companies and industries continue to thrive throughout India and the region, security teams benefit from implementing new credential approaches, such as FIDO 2.0 stands from the very implementation of their networks.

Despite CISOs and cybersecurity practitioners’ efforts in network security, advanced authentication implementation, and staff training on cyber hygiene, it still only takes a single breach to bring operations to a halt.

Changing the credentials status quo

Despite diverse authentication methods, the prevalent use of alphanumeric codes for logins continues to compromise organisational security.

Recent years have particularly highlighted these faults in the Asia Pacific region. This has resulted in:

This goes beyond the financial and personal burden put on people as they try to understand if their information is compromised.

In the past, these attacks were successfully conducted by identifying a vulnerability within a system and exploiting it using relevant tactics. However, today companies face two main threats, phishing attacks and device compromise.

Device compromise

Organisations permitting remote work or personal device use face an additional security layer– unfamiliar devices.

IT operators have always struggled to identify and approve all devices on a network– again relying on usernames, passwords, and perhaps some other alphanumeric authentication technique. The danger lies in the possibility that these two-factor authentication methods may also be compromised alongside user credentials.

Adding to the compilation, single sign-on has grown in popularity, but if a user is compromised, so too are their profiles created across all the tools that they have given access to the single point. Even with examples of organisational approved SSO with a secure environment, no matter how secure those APIs and authentications are, if the front door is still secured with a username, password, and alphanumeric authentication then the risk is still ever-present

To Know More, Read Full Article @ https://ai-techpark.com/revolutionizing-security-fido-2-0/ 

Related Articles -

Spatial Computing Future of Tech

collaborative robots in healthcare

Trending Categories - IOT Wearables & Devices

Over the last few decades, innovative technologies have changed the future of business dynamics. Therefore, every industry uses the latest technologies to move forward, and CIOs are responsible for driving such technological changes within organizations. According to Globe Research, it has been witnessed that more than 27.7% of digital transformation for better customer experience (CX) initiates are sponsored or owned by CIOs, which indicates the rapid change in customer expectations.

For a better understanding and deployment of innovative digital transformation, CIOs need to work closely with other C-suites and department managers to enhance the customer experience and gain a competitive advantage in this digitized world.

Innovate the Customer Journey

With the recent development of technologies, companies are accelerating their business to attract innovative services and retain customers looking for a better-personalized experience, fast and secure applications, or software. Further, the new applications enable dynamic online ordering operations, such as same-day delivery or pickup, which helps customers interact with the organizations instantly.

For a better understanding of the applications or software, CIOs and business leaders can come up with an entire customer journey strategy involving the front end and the back end, making sure the circle is completely connected. Let’s consider the example of Zara, a multinational fashion company that announced that they are closing their 1200 stores across the USA and will start investing in developing an integrated omnichannel journey that will cost more than $3.1 million. This revolutionary change will help e-commerce, the supply chain industry, software development companies, and inventory management companies take innovative steps and make proactive approaches to problems and opportunities to identify resolutions.

Digital transformation, especially to upgrade the customer experience, is a journey; therefore, CIOs must be ready to restructure their strategies numerous times so that they fit their business objectives and goals. However, to embrace such change, CIOs are required to collaborate with every business leader and employee in the organization to increase the speed of executing data strategies, improve the customer experience, and conduct continuous reassessment of the change management process.

To Know More, Read Full Article @ https://ai-techpark.com/3-innovative-cio-strategies-for-enhanced-customer-experiences/ 

Read Related Articles:

Ethics in the Era of Generative AI

Importance of AI Ethics

In a highly regulated business environment, it is a challenging task for IT organizations to manage data-related risks and compliance issues. Despite investing in the data value chain, C-suites often do not recognize the value of a robust data governance framework, eventually leading to a lack of data governance in organizations.

Therefore, a well-defined data governance framework is needed to help in risk management and ensure that the organization can fulfill the demands of compliance with regulations, along with the state and legal requirements on data management.

To create a well-designed data governance framework, an IT organization needs a governance team that includes the Chief Data Officer (CDO), the data management team, and other IT executives. Together, they work to create policies and standards for governance, implementing, and enforcing the data governance framework in their organization.

However, to keep pace with this digital transformation, this article can be an ideal one-stop shop for CDOs, as they can follow these four principles for creating a valued data governance framework and grasp the future of data governance frameworks.

The Rise of the Chief Data Officer (CDO)

Data has become an invaluable asset; therefore, organizations need a C-level executive to set the company’s wide data strategy to remain competitive.

In this regard, the responsibility and role of the chief data officers (CDOs) were established in 2002. However, it has grown remarkably in recent years, and organizations are still trying to figure out the best integration of this position into the existing structure.

A CDO is responsible for managing an organization’s data strategy by ensuring data quality and driving business processes through data analytics and governance; furthermore, they are responsible for data repositories, pipelines, and tools related to data privacy and security to make sure that the data governance framework is implemented properly.

The Four Principles of Data Governance Frameworks

The foundation of a robust data governance framework stands on four essential principles that help CDOs deeply understand the effectiveness of data management and the use of data across different departments in the organization. These principles are pillars that ensure that the data is accurate, protected, and can be used in compliance with regulations and laws.

C-suites should accept the changes and train themselves through external entities, such as academic institutions, technology vendors, and consulting firms, which will aid them in bringing new perspectives and specialized knowledge while developing a data governance framework.

To Know More, Read Full Article @ https://ai-techpark.com/chief-data-officer-in-data-governance/

Read Related Articles:

Guide to the Digital Twin Technology

AI and RPA in Hyper-automation

Chris, could you start by introducing yourself and your role at Zennify and sharing a little about your background in the finance and technology sectors?

I joined Zennify in April 2023 as Chief Executive Officer. I’m a customer success and IT services veteran with over 15 years of experience in the Salesforce ecosystem and 30 years in technology.

Most recently, I was the Senior Vice President of Customer Success at Salesforce. I led the North American Success team responsible for ensuring the retention and growth of the $15B customer base. Before that, I was the COO of Model Metrics (acquired by Salesforce in 2011) and was a board advisor to Silverline and 7Summits, services firms within the Salesforce ecosystem. I was privileged to advise them on scaling and company growth.

We have a fantastic opportunity at Zennify to push boundaries and change the way consulting is done, using AI and tools to accelerate implementations and customer time to value. We strive to be the top boutique Salesforce and nCino consultancy for financial services firms. I’m proud to be here at Zennify and to continue upholding our reputation as one of the go-to partners for financial institutions that want to see accelerated outcomes.

Why financial institutions should ban AI at their own risk:

Chris, you’ve raised the idea that financial institutions should not ban AI at their own risk. Could you elaborate on why you believe AI is crucial for the financial sector’s future and what potential risks they face by not embracing it?

AI has and will continue to impact the breadth, depth, and quality of products and services offered by financial institutions. There are multiple use cases for AI – and a lot of them focus on increased efficiencies. For example, teams can use AI to better predict and assess loan risks, improve fraud detection, provide better and faster customer support through smarter personalization, and analyze data in unstructured ways – all while reducing costs. These are use cases that would have typically taken more time and have more room for errors. Understanding and implementing AI thoughtfully leads to sustainable business growth and staying ahead of your competitors.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-chris-conant-ceo-at-zennify/

Read Related Articles:

Hadoop for Beginners

Information Security and the C-suite

In today’s competitive world, the various sectors are at a crossroads. Companies following traditional approaches are struggling to keep pace with the fast pace of digital transformation.

So, the pace of the ongoing digital transformation demands a shift in paradigm with the help of intelligent applications (I-apps), which imbue the power of artificial intelligence (AI) and machine learning (ML) to automate tasks, get insights, and drive better decision-making that has the potential to reshape the future of various sectors.

Why Are Intelligent Apps Important for Business?

Intelligent apps are capable of continually learning the environmental, behavioral, and emotional patterns of users while completing the tasks assigned to them.  The applications are meant to forecast your requirements and present them as relevant information, ideas, or recommendations using predictive analysis, prescriptive analysis, operational vision, and product insights. Chatbots, virtual assistants, and recommendation engines on e-commerce sites are just a few examples of intelligent applications.

Let’s consider an example of Slack, a popular collaboration application that provides channels for team communication, file sharing, and connections with other productivity apps.

How Do Intelligent Apps Work?

Intelligent applications are not just clever software; they are built on a foundation of powerful technologies that enable their unique capabilities by empowering software developers to create intelligent apps that automate tasks, analyze data, and predict outcomes. Let’s take a quick glimpse into the mechanics behind how this application works:

AI and ML Technologies

Intelligent apps lie in AI and ML, as these technologies enable apps to process vast amounts of data, learn patterns, make predictions, and adapt their behavior intelligently.

Low-code and No-code Platforms

Democratizing app development, these platforms allow software developers with varying skill levels to create intelligent apps without extensive coding knowledge. These platforms provide visual interfaces, pre-built components, and drag-and-drop functionalities, making intelligent AI-powered app development more accessible.

Data Integration

Intelligent applications need seamless integration with various data sources, including databases, cloud platforms, and IoT devices, to make intelligent decisions and provide personalized experiences.

To Know More, Read Full Article @ https://ai-techpark.com/why-intelligent-applications-are-no-longer-an-option-for-business/

Read Related Articles:

Safeguarding Business AssetsCloud Computing Frameworks

What would be your valuable advice for budding entrepreneurs and industry professionals?

To budding entrepreneurs and industry professionals, I offer this valuable advice: place a profound emphasis on your customers. Cultivate an obsession with understanding them on a deep level. Dive into the intricacies of their challenges, and endeavor to craft solutions that precisely address these issues.

An important lesson to remember is to avoid the common pitfall of creating solutions in search of problems. This sounds funny but it is surprisingly common. Instead, start by identifying genuine problems within the market. Let these authentic needs guide your innovation, ensuring that your efforts are purpose-driven and aligned with real-world demands.

By prioritizing your customers’ needs, adopting a problem-first approach and consistently refining your offerings based on feedback, you can forge a path to success that is both impactful and sustainable.

Could you elaborate on the key strategies or actions you have implemented or plan to implement?

Regarding our key strategies and actions, we’re actively expanding our team in both research and development, as well as in customer-facing roles. This growth is instrumental in enhancing our capabilities and ensuring effective support for our clients.

A pivotal focus is on the introduction of comprehensive end-to-end solutions. These solutions are strategically designed to empower customers to swiftly achieve results using our deviceWISE platform. By streamlining the adoption process, we’re enabling clients to accelerate their journey towards IoT integration and maximize the benefits of our technology.

Furthermore, we’re deeply committed to harnessing the potential of Artificial Intelligence (AI) as a transformative force for industrial productivity. Our investment in AI technology underscores our belief in its capacity to revolutionize operations and enhance efficiency in the industrial landscape. This commitment drives us to develop and deliver unique AI-driven products that stand at the forefront of innovation.

A recent milestone includes the launch of our “connected machine offer.” This pioneering solution empowers machine builders with a comprehensive turnkey package for delivering connected machines. This offering opens doors for machines-as-a-service models, remote support capabilities and an array of additional functionalities, thereby enabling our clients to stay ahead in the competitive market.

In essence, our strategies encompass team expansion, holistic end-to-end solutions, AI integration and innovative product launches.

Please share your source of inspiration for exploring various facets of technology.

My source of inspiration for exploring various facets of technology stems from a profound curiosity about the boundless possibilities that technology offers to reshape and elevate our world. The rapid evolution of technology has the potential to revolutionize industries, enhance human experiences, and solve complex challenges.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-ricardo-buranello/

Related Articles

AI and Blockchain Revolution

Ethics in the Era of Generative AI

Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

In response to rapidly changing workplace needs, many companies launched into scaling up their tech stacks and providing employees with new tools that promised greater efficiency, improved productivity, and a better digital experience. Research shows, however, that 40% of employees and 44% of executives believe that employees are either somewhat or significantly over-provisioned by tech at work. As a result, workplaces now are grappling with an abundance of tools that were poorly matched both to employees’ needs and to specific workplace challenges.

The underlying disconnect is this: companies focused too much on providing new equipment to teams in an attempt to make broad, sweeping improvements in productivity or to accelerate business transformations. In turn, they fell short of providing the right equipment to the right employee at the right time.

Determine benchmarks to prepare for scaling.

Organizations looking to scale and grow need clear markers of success long before they level up their investment in IT systems to prevent too large of an investment or too little preparation. Setting benchmarks is essential. Companies can achieve this step by comparing historical trends based on data instead of guesswork. This must happen alongside real-time data for a full picture of the digital employee experience (that is, each employee’s experience with the tech stack allocated to them—whether good or bad).

Context around certain IT moves and decisions, as well as the impact of those moves on workplace productivity and performance, is crucial for enabling strategic planning. For instance, it’s possible to parcel data into meaningful, informative sets based on the workplace environment (hybrid or remote), the employee experience with the digital tools they need for their roles, and the systems used.

Benchmarks will be critical for growth planning, including any M&A plans on the docket, enterprise-wide system integrations (such as EMR rollouts for healthcare organizations), or widespread software updates. Armed with easily-digestible benchmark data, IT teams can sort out any issues ahead of an influx of talent, system mergers, and digital transformation projects.

In these scenarios, IT leaders can emerge as true business heroes, instead of the old days when the “IT hero” was associated with reactively saving a company from extended downtime. The IT executives’ ability to tie downtime, latency, and systems issues (and more) to the business’s bottom line—based on data-informed calculations—will elevate strategic planning. The monetary value of an organization’s IT health is rapidly increasing as companies look to eliminate redundancies, streamline workflows, and create better digital employee experiences. Up until now, measuring the baseline of IT health—and tying that baseline to a financial tally—has been cumbersome and inefficient. Now, IT leaders can determine the issues affecting productivity through a single dashboard of a digital experience platform, enabling companies to quickly measure the impact of software, hardware, and network issues on workplace productivity, in turn immediately remedying any issues.

To Know More, Read Full Article @ https://ai-techpark.com/cost-if-it-issues/ 

Read Related Articles:

Effective Machine Identity Management

Neural Network Technology

Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

In today’s tech-driven environment, the constant stream of data can be an intricate and complex task for IT professionals and CEOs. The situation calls for some valid actions that can help effectively manage and analyze the vast data for small to medium businesses (SMBs) and small and medium-sized enterprises (SMEs). These companies are always looking for creative ways to do these tasks, as they have limited resources, and to approach their target audience and boost sales. AIOps tools and platforms provide you with the leverage to make your work automated and optimize various functions. Let’s take a look at how AIOps solutions can help SMBs and SMEs stay ahead of the competition.

How Can AIOps Help SMBs and SMEs?

We have seen that small businesses have always been slower to adopt technology than bigger organizations. However, over the years, the tide has taken a turn, and according to a recent survey by Accenture, around 61% of small businesses are using AI in some form. It has helped these businesses optimize their IT infrastructure and automate their business processes. However, there are other ways in which AIOps have helped SMBs and SMEs. Let’s take a look at a few of them:

Cutting Costs

SMBs and SMEs often face a prevalent issue of costs that can be eliminated with the help of AIOps tools that optimize data processes by collecting, analyzing, and digitally transforming your business. Furthermore, it can automate your data workflow, meaning anyone can utilize this data to improve your business.

Optimizing Resource Planning & Allocation

AIOps tools can help optimize your resource planning and help with resource allocations when necessary. These solutions allow IT professionals to redirect the time, energy, and focus of other important tasks and cut down on unnecessary workloads. Once the data is transformed and well structured, you can allocate and plan your business resources based on the information.

Best AIOps Platforms for SMBs and SMEs

For such complex infrastructure, SMEs and SMBs need a new category of AIOps platforms that have the power to solve intricate problems based on various analyses. However, there are not many AIOps solutions that cater to such specifics, but there are still a few options for AIOps platforms that work well for SMBs and SMEs. Here are a few of them, with their use cases:

LogicMonitor

LogicMonitor, a monitoring and observability platform, uses AI technologies to detect patterns, forecast, and analyze performance metrics to establish predicted analytics and trends for the entire infrastructure.

To Know More, Read Full Article @ https://ai-techpark.com/best-aiops-solutions-for-smbs-and-smes/

Read Related Articles:

How Decision Makers Can Harness the Power of AI

Generative AI in Virtual Classrooms

Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

What role does AI technology play in Pipefy’s products or services? How do you leverage AI to enhance your offerings?

AI is the new frontier for digital transformation in general, and no-code in particular.  It holds enormous potential for both process automation and operational efficiency. Where these two intersect, that’s where Pipefy really shines.

Pipefy AI enhances our existing platform by helping teams solve some of their most complex and time-consuming challenges, such as pulling critical insights from their data, or building more efficient processes. By simply telling Pipefy AI what is needed, users can access complex data analysis and create the best version of their process in mere seconds.

We also partner with technologies that are using AI in other ways. For example, our partner ABBYY uses AI to enhance their document processing capabilities. Partnerships like these allow our customers to get even more benefits from AI to drive efficiency and deliver optimization to an extent only dreamed of just a few years or even months ago.

What motivated you to start Pipefy, and what is the mission and vision behind the company?

Our vision has always been to help people build better processes, because we know business success depends not just on what gets done, but how it gets done. Good processes deliver good results and create great user experiences.

Prior to developing Pipefy, I worked in companies where problems with processes and standards of execution were major liabilities, impeding growth and preventing teams from achieving their goals. For example, processes that are bogged down by manual work, or which rely too much on spreadsheets and email threads.

In these scenarios, the work takes too much time and effort to complete. Managers don’t have visibility or control over their processes. Data is fragmented and fragile, so that information remains decentralized and stuck in silos.

A lot of businesses I knew were grappling with the problem of operational efficiency, which inhibited their ability to stay competitive and meet their goals. Some companies were aware that there was a goldmine of efficiency gains hiding in their workflows and processes, but the software tools available to them were too rigid to deliver efficiency across the organization, or they were cost prohibitive due to the endless customizations and add-ons needed to keep them relevant.

With Pipefy, I wanted to create a tool that offered all of the features and capabilities needed to achieve operational efficiency, and also flexible enough to accommodate any type of process or workflow, without burning through the company’s IT resources. The Pipefy solution meets both of these requirements because it gives business teams an adaptable no-code tool they can use to solve many inefficiencies themselves, no matter the department or process.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-alessio-alionco/ 

Related Articles

Cloud Computing Frameworks

AI in Mental Health Diagnostics

Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.

Digital transformation benefits your small business or large organization by increasing productivity with scalability in IT infrastructure, expanding data storage and resources, and accelerating application delivery. However, the large-scale expansion of web services like cloud environments has created challenges for IT professionals and engineers, affecting their security and operational efficiency. To curb these challenges, here are some of the most effective solutions that will enhance your company’s use of artificial intelligence for IT operations (AIOps) by making complex automated decisions and managing large-scale data.

Use Cases for AIOps for Large-scale Data and Workload Management

AIOps can provide several benefits to your business to streamline and automate their IT operations and management processes. Here are a few use cases:

Detecting And Fixing Issues More Rapidly

AIOps offers full insight into the private, hybrid, and public cloud resources that identify and fix problems with large-scale data swiftly. AIOps platforms may combine this insight on the event and problem data to analyze the data to identify the issue before it arises.

How to Strengthen AIOps in Data Management

AIOps platforms are designed to handle large-scale data with the help of tools that offer various data collection methods and visual analytical intelligence. Here are a few strategies to strengthen AIOps in data management to handle the operations more effectively:

Define Goals and Objectives

Identifying the goals and objectives for implementation of AIOps helps your IT team identify the specific areas where IT operations are needed from AIOps technologies. The most important AIOps technologies that companies might need are performance optimization, capacity planning, and incident management.

Evaluate Data Sources and Infrastructure

Identifying relevant data sources can give better insights for AIOps, like metrics, log monitoring tools, events for evaluating existing infrastructure, and DevOps services that ensure data collection, processing, and storage requirements for AIOps.

Conclusion

AIOps is a big deal in the IT industry because it has the potential to transform your business, and it is no no-brainer to go with it. To make things easy to use, we have made a list of the best AIOps solutions that have features, tools, and use cases that will help you find the perfect platform for your business.

To Know More, Read Full Article @ https://ai-techpark.com/aiops-for-large-data/ 

Read Related Articles:

Digital Patient Engagement Platforms

Generative AI in Virtual Classrooms

Maximize your growth potential with the seasoned experts at SalesmarkGlobal, shaping demand performance with strategic wisdom.