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During Splunks.conf23 event,the company announced Splunk AI, a suite of AI-driven solutions designed to enhance its unified security and observability platform. According to the company, the latest development combines automation with human-in-the-loop experiences to empower organizations to improve their detection, investigation and response capabilities while maintaining control over AI implementation.

The new Splunk AI Assistant employs generative AI to give users an interactive chat experience using natural language.Users can create Splunk Processing Language (SPL) queries through this interface, thereby expanding their understanding of the platform.

Through the AI Assistant, Splunk aims to optimize time-to-value and increase accessibility to SPL, democratizing an organizations access to valuable data insights.

Splunk said that the AI will empower SecOps, ITOps and engineering teams to automate data mining, anomaly detection and risk assessment. so they can focus on more strategic tasks and reduce errors.

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As a company, we have been deliberate in ensuring our Splunk AI innovations combine automation with human-in-the-loop experiences, so organizations can strengthen human decision-making with threat response by increasing speed and effectiveness, but not replace human decision-making, Min Wang, CTO at Splunk, told VentureBeat. Both our embedded and foundational AI offerings within Splunk AI provide recommendations on large, rich sets of information to enhance and accelerate human decision-making regarding detection, investigation and response.

The model is integrated with domain-specific large language models (LLMs) and ML algorithms, leveraging security and observability data to boost productivity and cost efficiency. The company emphasized its commitment to openness and extensibility, as it enables organizations to integrate their AI models or third-party tools.

What differentiates Splunks AI-powered offerings is they optimize domain-specific large language models and ML algorithms built on security and observability data, Wang told VentureBeat. These domain-specific insights will provide SecOps, ITOps and engineering teams with relevant data to automatically detect anomalies and then prioritize their attention to where its most needed based on intelligent risk assessment, minimizing repetitive processes and human error.

Splunk asserts that as tech infrastructure becomes more complex and distributed, and with ongoing talent shortages, organizations need tools that enable them to act swiftly and efficiently without exhausting their teams.

With Splunk AI, we want to help make the jobs of SecOps, ITOps and engineering easier, so they can focus on more strategic work [and] act faster and more accurately to ensure their systems remain resilient, said Splunks Wang.

Splunks new AI-powered capabilities aim to enhance alerting speed and accuracy, bolstering digital resilience. According to the company, its app for anomaly detection streamlines and automates the entire operational workflow for anomaly detection.

Meanwhile, IT Service Intelligence 4.17 service introduces outlier exclusion for adaptive thresholding, which identifies and excludes abnormal data points. In addition, ML-assisted thresholding generates dynamic thresholds based on historical data and patterns, resulting in more precise alerting.

ML-assisted thresholding uses historical data and patterns to create dynamic thresholds with just one click. Thresholds that better mirror the expected workload on an hour-by-hour basis help ITOps and engineering teams reduce false positives and drive more accurate alerting on the health of an organizations technology environment, Wang explained.

In another development, the company unveiled ML-powered foundational offerings that grant organizations access to comprehensive information. The Splunk Machine Learning Toolkit (MLTK) 5.4 now provides guided access to ML technology, enabling users of all skill levels to leverage forecasting and predictive analytics.

MLTK can be deployed on top of [the] Splunk Enterprise or Cloud platform to extend the platform with techniques like an outlier and anomaly detection, predictive analytics, and clustering, to filter out noise and address common ML use cases, said Wang.

Wang said the latest MLTK release enables users to easily upload their pre-trained models to MLTK through a user-friendly interface.

Once the model is within Splunk, users can seamlessly apply it to their Splunk data without altering their existing workflows. This functionality expands the applicability of MLTK and ML-SPL to encompass models trained using methods other than MLTK.

According to Wang, domain specificity is crucial for models. She emphasized the importance of tuning models specifically for their respective use cases and having experts in the field build them. While generic large language models (LLMs) can serve as a starting point, she said that the most effective models are those tailored to specific domains.

Wang highlighted that although generative AI is valuable for learning curves and generating new insights, deep learning tools may be better suited for embedding purpose-built complex anomaly detection algorithms into security offerings.

As experts in security and observability, I believe we have the best domain-specific insights derived from real-world experience by our development team, go-to-market team, and customers, she said.

To facilitate this transition, Splunk has introduced the Splunk App for Data Science and Deep Learning (DSDL) 5.1. This extension of MLTK enhances the integration of advanced custom machine learning and deep learning systems with the Splunk ecosystem, thereby bolstering its capabilities.

The DSDL extends MLTK with prebuilt Docker containers for additional machine learning libraries. Data scientists and machine learning or deep learning engineers can use DSDL to leverage GPU computing for compute-intense training tasks and flexibly deploy models on CPU or GPU-enabled containers, explained Wang. This offering is specific to our customers who store their data in Splunk environments and need tools to incorporate powerful ML algorithms trained on their data for their unique purposes.

DSDL 5.1 also introduces two new AI assistants that will enable customers to use LLMs to build and train models specific to their domain. These assistants will focus specifically on text summarization and text classification applications.

Wang said AI/ML and analytics are crucial in enhancing anomaly detection and alerting accuracy. These technologies reduce false positives and customize thresholds based on unique customer data patterns, resulting in more effective alerting.

Along the same lines, the companys new Splunk app for Anomaly Detection employs machine learning to automate the detection of anomalies in ones environment. It also offers consistent health diagnostics.

The app provides an end-to-end operationalization workflow so organizations can create and run consistent anomaly detection jobs, view SPL queries and create alerts. This leads to more accurate overall alerting, said Wang.

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Splunk unveils Splunk AI to ease security and observability through ... - VentureBeat

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The Tour de France is one of sports greatest spectacles, a three-week extravaganza boasting some of the biggest audiences of any sporting event in the world. But how can we boost its popularity and attract more fans in the United States? In this issue, Joe Harris and Steve Maxwell of The Outer Line look at the need for better cycling development programs and improved infrastructure.

As we continue our journey around the positive feedback loop of boosting cyclings popularity in the United States (see Chart below) we now take a look at the need for better programs and infrastructure to develop competitive riders in this country.

Also read

The cornerstone of traditional powerhouse cycling countries has always been a well-supported and self-sustaining talent pipeline. This includes grassroots talent identification and nurturing, and gradual promotion of athletes into the highest levels of competitive cycling.

A constant flow of potential star riders can be realized when cycling-friendly policies, good riding infrastructure, cultural reinforcement, and childhood encouragement intersect. Unfortunately, much of this is missing from U.S. cycling today. Below, well briefly discuss the features of a strong development system, and strategies which the U.S. could adopt to become a stronger cycling nation.

The U.S. with its car-centric culture and infrastructural orientation often dissuades people from cycling. There simply arent that many safe roads to ride in many municipalities. Cyclings powerhouse nations have all historically enjoyed broader and more mature cycling infrastructure support. Public infrastructure development must be promoted, including greenway, shared roadway, and community awareness to improve safe riding zones and encourage parental and child confidence on the bike. Organizations like People for Bikes and USA Cycling USAC, the national federation body are actively promoting these types of developments, but we still have a long way to go.

And we need more cycling talent identification and development systems both at the national and the more local level. Local racing clubs which are ubiquitous in many European municipalities provide a safe space for kids to try cycling, but also provide competent coaching and equipment to assist and encourage disadvantaged members.

Many private U.S. club programs have faced funding shortfalls and folded, including successful junior-focused ones like GS Andiamo. USAC has a schedule of development camps and will be adding talent identification in the future, but the current road camps start at over $1,000 and the European camp is $4,500 not including airfare. This financial barrier puts many athletes at a disadvantage.

Chris Horner reiterates these points, saying, We definitely need more and better development programs, where those young kids that are interested in bike racing can be developed, coached and encouraged. But of course a lot of this just boils down to money just like everything else.

Good infrastructure and cycling facilities like BMX tracks, mountain bike parks, and velodromes are also critical elements of a healthy cycling development model that can provide safe zones for kids to start down the path of competitive cycling, and for riders of all ages to regularly compete and build strategic skills and fitness. But more importantly, such facilities then become literal hubs of activities, networking riders together and promoting local infrastructure changes.

A strong development system needs competent coaching, supported by national federation, municipal, club, and other private-source funding. A mixed-support model like this could help build a talent pipeline through continuity and consistency, with coaches to provide the constant encouragement, planning, and advisory role needed to identify and develop talented riders that may eventually graduate to the pro peloton.

Similarly, we need more road cycling events at the local level to provide racing experience and consistency along the development path. Unfortunately, there are fewer races today, and riders must often travel great distances and at great expense to compete. The lack of affordable local racing deprives riders of valuable opportunities to apply their skills, fitness, and aptitude for racing in the real world. This makes cycling infrastructure investment even more critical; for example, velodrome racing has often been cited as a primary feeder for many raw talents to become champion road stars, but we dont have enough of these facilities yet.

Brendan Quirk, CEO of USA Cycling, emphasizes this critical importance of building and supporting local activities, clubs and events. We are absolutely focused on grassroots racing by giving direct support to local clubs and local event organizers. What our data shows, with unequivocal clarity, is that the leading determinant of membership and the number of racing days is access to nearby race events. Grassroots racers dont want to travel far to races, and they dont want to stay in hotels, etc. So for us, its all about the support we can provide local event organizers to help them put on more races.

Despite all the challenges, there are two areas where the U.S. seems to be getting it right: scholastic racing programs and collegiate cycling. In a few states, the National InterscholasticCyclingAssociation (NICA) has built strong programs to introduce and encourage high school mountain bike racing leagues which include riding skills classes, competent coaching, support to provide gear to disadvantaged children, and safe-riding zones in and around school facilities.

And USAC Collegiate Cycling (formerly the national collegiate cycling association, or NCCA) a fully integrated division of the national federation has also become a fixture across many campuses nationwide with multiple divisions, years-long school rivalries, and a few scholarship supported clubs within the ranks. The U.S. scholastic model could quickly begin to generate new talent and transform the results in just a few years, with a few tweaks to the model to improve funding and outreach.

Other emerging pathways for new and talented riders include social fitness platforms and cross-sport data mining. Ubiquitous services like Strava and Zwift have been literal gold mines for the sport, as talented and fit riders can be readily identified and rapidly developed due to their high levels of demonstrated fitness, and at ages where they are still young enough to be further developed with competent coaching. And more and more top riders, particularly women, are coming over to cycling after having developed into world-class talents in other team sports like soccer; data mining and outreach programs could help identify more of these talented athletes in the future.

And its important to point out that there are ongoing success stories. Christian Vande Velde thinks that U.S. cycling is on the precipice of great things. Today, its a more level playing field than it was when I was growing up. Kids who are good, and who are meant to be bike racers, actually can be. Its not just the kids who grew up in the right neighborhoods. I mean, look at Richard Carapaz. Where he grew up, he didnt even have a paved road to ride on. I truly believe that today, you could come from almost anywhere or any economic background, and if you have the talent, there are avenues for you to reach the top levels.

However, as we underlined in our last two articles in this series, we cant overlook the impact that accessible broadcast content plays in inspiring children to take up bicycle racing. As with other sports, children often discover these activities through television, and by looking up to champions who can act as role models. This is especially true for young girls, who often discover a sport by identifying with the women who represent the sport such as the immeasurable impacts that the Williams sisters have had on elevating womens tennis. Sports experience growth when children see themselves in the shoes of their heroes and when there are support systems to help them develop into future champions.

Tyler Hamilton was one of Lance Armstrongs key lieutenants during the early U.S. Postal victories, and he won a stage at the 2003 Tour. Like many U.S. riders, he came into the sport later in life through the NCCA, winning the 1993 collegiate criterium and road omnium title. Now a financial advisor and part-time coach, he says, In terms of America generating new top level talents, I feel like its coming. Im in contact with a lot of the up-and-coming junior teams, and we have a lot of talent in the pipeline. Im pretty optimistic that well have another Tour de France podium type of rider coming. We just have to stay patient. Look at France, theyve been patient for a long time.

Steve Maxwell and Joe Harris are co-editors of The Outer Line, which focuses on governance and business issues, contrasting pro cycling with other sports. Subscribe to The Outer Lines weekly AIRmail newsletter here .

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Boosting the Tour's popularity in the U.S. will take better ... - Outside Magazine

Lingnan University, a distinctive liberal arts institution in the Hong Kong Special Administrative Region, is committed to the provision of quality whole-person education by combining the best of Chinese and Western liberal arts traditions. It strives to pursue excellence in teaching, learning, scholarship and community engagement. With three academic Faculties and the School of Interdisciplinary Studies, it offers a wide range of undergraduate degree programmes in the areas of Arts, Business and Social Sciences, and the broad curriculum covers an array of general education, interdisciplinary and science courses. The School of Graduate Studies offers research and taught postgraduate programmes up to doctoral level in various disciplines, and provides professional education for the wider society. Lingnans liberal arts education is characterised by a broad-based interdisciplinary curriculum with specialised disciplinary studies; close student-staff relationship; a vibrant residential campus; ample global learning opportunities; active community engagement and multifarious workplace experience. Applications are now invited for the following post:

(Carrying the functional title of Research Assistant Professor)

Department of Computing and Decision Sciences

(Post Ref.: 23/27)

The Department of Computing and Decision Sciences (https://cptra.ln.edu.hk) is one of the five departments in the Faculty of Business that contribute to the undergraduate programme of Bachelor of Business Administration (Hons) degree. The Department hosts the LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science programme and runs a Master of Science Programme in eBusiness and Supply Chain Management. The Department invites applications for research-track position in the areas of (i) Data Science, (ii) Artificial Intelligence, (iii) Healthcare Analytics, (iv) Data Mining, and (v) Big Data Analytics.

The main responsibilities of the post are to: i) apply for internal and external research grants; ii) conduct original research and publish papers in high quality journals; iii) perform teaching duties at undergraduate and postgraduate level (preferably in data science, artificial intelligence, mathematics or statistics); and iv) perform projects for the LEO Dr David P. Chan Institute of Data Science. The appointee is expected to have good communication and presentation skills in English.

General Requirements

Lingnan University is fully committed to the pursuit of excellence in both teaching and research. The appointee is expected to have passion in research and teaching. Applicants should have a PhD degree in Data Science, Artificial Intelligence, Computer Science, or a relevant discipline in recent years. Ideally, the candidate would have experience in applying data science and artificial intelligence in real life contexts. Applicants should provide information about their work experience, qualifications, research interests and achievements, and a statement of publication record.

Appointment

The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years. Postdoctoral Fellow with a good publication record may carry a functional title of Research Assistant Professor.

Application Procedure(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants consent has been given for their providing references.Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will start from February 2023 and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

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Postdoctoral Fellow in Data Science, Department of Computing and ... - Times Higher Education

In the new-age

landscape, where businesses strive to stay competitive and reach their target audiences effectively, social media analytics plays a pivotal role in helping

marketers gain valuable insights about customer behaviour, campaigns optimisation, and driving business growth. Digital marketing, a powerful strategy to reach target audiences online, relies on vast amounts of user-generated data on social media platforms and data-driven insights to make informed decisions.

For digital marketing companies and professionals, staying updated with the latest tools and techniques is crucial. So, a comprehensive

is invaluable for them in acquiring the skills to offer effective digital marketing services in today's competitive market. Moreover, they need a clear understanding of the role of social media analytics in shaping digital marketing practices, its benefits and the importance of data-driven decision-making.

Social Media Analytics Decoded

Social media analytics involves the collection, measurement, and analysis of data obtained from various social media platforms. It encompasses a wide range of metrics, including engagement rates, reach, impressions, click-through rates, sentiment analysis, and demographic information. Through the use of specialised tools and algorithms, marketers can extract meaningful patterns and trends from this data, enabling them to make informed decisions and optimise their digital marketing campaigns.

The Significance of Social Media Analytics

Social media analytics empowers marketers to track engagement, measure campaign performance, and identify trends, enabling them to fine-tune their strategies and deliver more personalised experiences. Here are the most important benefits of this method for digital marketing service providers.

Helps in Analysing Customer Behaviour

: By analysing social media data, digital marketers can understand how customers engage with their brand, what content resonates with them, and the factors that influence their purchasing decisions. This knowledge enables businesses to tailor their marketing strategies, personalise their messaging, and deliver targeted campaigns that strike a chord with their audience.

Enables Influencer Identification and Building Relationships

: Social media analytics also plays a vital role in identifying influential individuals or social media influencers who can promote a brand's products or services. By analysing follower counts, engagement metrics, and sentiment analysis, marketers can pinpoint the most relevant influencers for their target audience. Building relationships with influencers can enhance brand visibility, reach, and credibility, leading to increased customer trust and loyalty.

Promotes Real-Time Monitoring and Crisis Management

: In the fast-paced digital landscape, social media analytics provides marketers with real-time monitoring capabilities. By tracking social media conversations and mentions, businesses can identify potential crises or negative sentiment surrounding their brand. This allows them to address issues promptly, mitigate reputational damage, and maintain a positive brand image. Real-time monitoring also enables digital marketers to leverage positive brand mentions and capitalise on emerging trends or viral content.

Fosters Data-Driven Decision Making

: Social media analytics empowers a digital marketing company to make data-driven decisions by providing actionable insights derived from the analysis of social media data. Instead of relying on assumptions or guesswork, it can use analytics to identify key performance indicators (KPIs), measure campaign effectiveness, and optimize their digital marketing strategies. This data-driven approach increases the likelihood of success, enhances ROI, and minimizes risks associated with uninformed decision-making.

Enhances Audience Targeting and Personalization

: Social media analytics allows marketers to segment their audience based on demographics, interests, and behaviour, enabling more precise targeting. By understanding customer preferences and interests, businesses can deliver highly personalized content and offers, improving the overall customer experience. This level of personalization increases the chances of conversion, customer satisfaction, and long-term loyalty.

Conclusion

In the new-age digital marketing landscape, social media analytics has revolutionised the way businesses understand and engage with their target audience. From understanding customer behaviour to enabling data-driven decision-making, social media analytics leads to increased brand awareness, customer satisfaction, and business growth.

FAQs

How can social media analytics help in digital marketing?

Social media analytics provides valuable insights into customer behaviour, preferences, and trends, allowing businesses to optimise their digital marketing strategies, target specific audiences, and measure campaign performance effectively.

What is digital marketing?

Digital marketing refers to the use of various online channels and strategies, such as social media, search engines, email marketing, and content creation, to promote products or services and reach a wider target audience.

How can you use social media analytics tools to grow your business?

Social media analytics tools can be used to gain insights into customer preferences, track campaign performance, identify influencers, and make data-driven decisions, ultimately driving business growth and success.

How can big data analytics be useful in social media analytics?

Big data analytics in social media analytics allows for the processing and analysis of vast amounts of data, enabling businesses to uncover meaningful patterns, trends, and insights for effective decision-making and strategy development.

How do you extract trends from social media data?

To extract trends from social media data, one can utilise data mining techniques, sentiment analysis, and monitoring tools to identify recurring patterns, popular topics, and emerging trends based on user engagement and conversations.

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The role of Social Media analytics in new-age Digital Marketing - Times of India

Prof. D MukhopadhyayThe rise of Byjus, an Indian edtech unicorn, had been a remarkable success story in recent years. Founded in 2011 by Byju Raveendran, the company quickly gained popularity with its innovative approach to online education, attracting millions of users and securing substantial investments from prominent venture capitalists. However, beneath its glossy exterior, Byjus journey is marred by allegations of corporate governance fiasco , which eventually led to its downfall. This write-up explores the proximate causes of the rise and fall of Byjus, and sheds light on the recent hue and cry leading to Indias most eye-catching valuable startup with a valuation of $22 billion i.e about INR 1,8 lakh crore defaulted in servicing a debt of $1.2 billion i.e about INR 10,000 crore. Byjus began as a modest startup, offering video-based educational content to students across India. The companys early success could be attributed to its adaptive learning technology and engaging teaching methods, which resonated with a growing market of tech-savvy students. Byjus managed to secure significant investments from prominent investors, such as Chan Zuckerberg Initiative and Sequoia Capital, enabling its expansion and aggressive marketing campaigns. As a result, the company quickly became a household name in the Indian education sector, boasting millions of users and a valuation of billions of dollars.Despite its soaring success, Byjus journey was marred by various instances of corporate governance failures stymied by opaque accountability and transparency in the companys financial reporting.. Multiple reports and investigations revealed that Byjus indulged in unethical accounting practices, such as , inflating its operational revenue to attract more investments and such fraudulent activities eroded the trust of investors and raised serious concerns about the companys integrity. Byjus faced allegations of mishandling sensitive users information, breaching privacy regulations and engaging in aggressive data mining practices. These revelations not only damaged the companys reputation but also triggered legal action and regulatory scrutiny. The lack of data protection measures and transparency further exposed the weak corporate governance framework within the organization.Delioitte , Byjus Auditor, resigned on the ground that startup had not provided its financials over a year. Besides, three independent directors representing investors and lenders also resigned . The firm has been subject to lawsuits by the investors. It failed to honour the financial covenants and interestingly, Byjus filed counter lawsuits against the creditors and lenders. There has been a considerable number of layoffs and the prevalence of utter-chaos in the corporate governance mechanism which rocked the corporate world. The fiasco reminded the importance of robust corporate governance and the role of independent corporate governance professionals Chartered Accountants (CAs), Cost and Management Accountants(CMAs) and Company Secretaries(CSs) besides the auditors who are crucial in guiding the corporate governance and strategic management of the firm by signaling appropriate warnings for potential derailment and guiding the strategic management in earning investors confidence and trust. As far as auditors are concerned, they assess the accuracy and reliability of financial statements and ensure compliance with the applicable accounting standards, provide an independent and objective evaluation of a companys financial records, internal controls, and financial reporting system. In the case of Byjus, auditors are responsible for conducting thorough audits, including examining the companys financial statements, verifying revenue recognition practices and assessing the authenticity of financial data and confidence of investors in the financial transparency and accuracy of the companys disclosures.Chartered Accountants (CAs) specialize in various aspects of financial accounting, corporate finance, and taxation and they could play a significant role in corporate governance affairs by providing expert advice on financial management, compliance with accounting standards, risk assessment and adherence to ethical accounting practices.Similarly, Cost & Management Accountants(CMAs) have a critical role in keeping the company on track and maintaining the momentum in securing strategic performance , monitoring, evaluating and reporting the periodic results . CMAs specialize in strategic management accounting, analyses and interpretations of financial information for management decision-making. Their expertise lies in cost management, beyond-budgeting, strategic performance evaluation, and financial planning. In the case of Byjus, CMAs could contribute to effective corporate governance by providing insights into cost efficiency, profitability analysis, enterprise risk management, assisting investors gauge the companys financial health and its ability to generate sustainable returns. Finally, Company Secretaries (CSs) play a significant role in ensuring compliance with legal and regulatory requirements, as well as facilitating effective corporate governance practices.They are responsible for maintaining statutory records, facilitating board meetings, ensuring compliance with company laws, and advising on corporate governance matters periodically. In the case of Byjus, CSs would ensure the companys compliance with relevant laws and regulations, facilitate transparency, maintain a strong corporate governance framework and contribute to building investors confidence in the companys operations. Further, many researchers examined the relationship between corporate governance practices and stock market returns of publicly traded firms and their findings revealed a negative correlation between weak corporate governance and stock performance, indicating that investors tend to lose confidence in companies with governance issues, which has exactly happened in Byjus.To overcome the challenges and regain stakeholders trust, Byjus should consider implementing the recommendations for strengthening corporate governance practices to ensure transparency, accountability, and adherence to ethical standards. This can be achieved by appointing independent directors with expertise in corporate governance. These directors can provide unbiased oversight and ensure that the company operates in the best interests of its stakeholders. Stringent internal controls, robust financial reporting mechanisms, and regular audits can restore confidence in its financial operations, regain trust of the investors. Byjus should prioritize transparency and disclosure of accurate and reliable information to investors, regulators, and the public. Byjus must adhere to accounting standards and present financial statements reflecting manipulated financial performance. Transparent reporting and disclosure practices would help rebuild credibility and foster trust among stakeholders, besides , strengthening data protection measures. The company should strictly comply with relevant data protection regulations and standards, such as the General Data Protection Regulation (GDPR) and the Personal Data Protection system in order to assure users that their personal information is safe and secure, which will not only help rebuild trust but also mitigate legal and regulatory risks besides, fostering a culture of ethical conduct within strong ethical framework in the organization.Byjus should create an environment that encourages employees to act ethically and report any violations and non-compliance they witness.To actively engage with the stakeholders, including investors, customers, employees, and regulators, establishing open lines of communication, providing updates on corrective measures, and gathering feedback to improve its operations are urgently called for.The company should develop a robust risk management framework to identify and mitigate potential risks, including conducting regular risk assessments, implementing risk mitigation strategies, and monitoring risk exposure. Byjus should proactively collaborate with regulatory authorities such as the Securities Exchange Board of India(SEBI), the Ministry of Corporate Affairs(MCA), and other relevant bodies and demonstrate its willingness to cooperate and adhere to regulatory requirements in order to rebuild credibility and foster a positive relationship with the authorities overseeing corporate governance practices.As far as investors are concerned, in the wake of Byjus fiasco and to seek justice and mitigate credit risk, they are recommended to protect their interests by consulting with legal experts specializing in corporate law, securities law, and consumer protection laws in securing their rights and the available legal remedies which may include filing lawsuits against Byjus for fraud, misrepresentation, or breach of fiduciary duties. Investors and creditors should actively engage with regulatory authorities such as SEBI , MCA and other appropriate authorities to ensure appropriate action against Byjus. Besides, creditors should individually consider a robust credit risk management practice involving due diligence on potential borrowers, assessing their financial health, and monitoring their performance regularly by professionals, besides diversifying their portfolios and avoiding excessive exposure to a single borrower or company in order to reduce the impact of any individual default or credit unworthiness.Investors and creditors can also explore options for obtaining compensation through negotiations with Byjus. The companys management, board and legal representatives should seek restitution or settlement. By presenting a strong case backed by evidence and highlighting the impact of Byjus fraudulent activities, investors and creditors may have a chance to recover some of their losses through negotiated settlements or financial restitution. Moreover, investors and creditors should stay informed about the ongoing developments related to Byjus and its legal proceedings. The rise and fall of Byjus serve as a cautionary tale, highlighting the dire consequences of corporate governance failures over again and again starting,,, with M/s Satyam Computers or dates back Harshad Mehtas fraudulent activities and financial scams once severely rocked the Indian Capital Markets which have all circumstantially been evidencing inefficient and ineffectiveness of the existing regulatory mechasim reactive in nature and many a time fail to maintain their proactive role as the watch dog of the corporate sector. Despite its initial success, Byjus unethical practices, lack of transparencyand disregard for data privacy ultimately led to its downfall. It may not necessitate any special attestation to the corporate governance failure at Byjus, underscoring the importance of a robust governance framework in any organization . This serves as a reminder for both investors and companies to prioritize integrity, transparency, and accountability to foster sustainable growth and maintain public confidence and trust. Overcoming the challenges faced by Byjus requires a comprehensive approach that prioritizes integrity, transparency, and accountability and the investors and lenders are advised to have constant vigilance over the commercial operation and flow of authentic and reliable information . It may not be too much to say that critical success factors, including risks, need to be identified and investors should do their homework before deciding to park their investments in any portfolio, keeping in view the spirit of the maxim- Caveat Emptor .(The author is a Bangalore-based Educationist and Management Scientist)

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Rise and fall of Byju's A Corporate Governance Failure - Daily Excelsior