Lessons for Business Leaders

Understanding Data Breaches: Impact and Implications for Organizations Anushree Shinde

Understanding Data Breaches: Impact and Implications for Organizations Anushree Shinde

Organisations that experience a data breach may suffer considerable financial losses, reputational harm, and even legal and regulatory repercussions. Organisations must comprehend the effects and ramifications of data breaches in order to successfully reduce risks and safeguard sensitive data. Here are some important things to think about:

1. Financial Impact: Data breaches can cause organisations to suffer significant financial losses. These losses may be caused by a number of things, including the expense of corrective action, legal fees, regulatory fines, consumer compensation, and lost commercial possibilities.

2. Reputational Damage: Data breaches frequently result in a decline in consumer, partner, and stakeholder confidence. A damaged reputation can affect brand value, consumer loyalty, and market competitiveness. After a data breach, confidence can be difficult to regain.

3. Legal and Regulatory Repercussions: Companies that suffer data breaches may be subject to legal repercussions and regulatory proceedings. The General Data Protection Regulation (GDPR) of the European Union and the California Consumer Privacy Act (CCPA) are two examples of laws and regulations that include rigorous requirements and potential penalties for violations relating to data protection, privacy, and security.

4. Impact on Customers and Employees: Data breaches can result in the exposure of sensitive personal information, which can then be used for identity theft, financial fraud, or other nefarious purposes. A breach may result in loss of privacy, financial difficulty, and emotional misery for customers and workers.

5. Operational Disruption: Handling a data breach can seriously impair operations. The investigation of the breach, the implementation of security measures, the notification of those affected, and the restoration of systems and data may all need resources from organisations.

6. Regulatory Notifications and Reporting: A lot of jurisdictions demand that businesses notify the relevant regulatory bodies and the people who were impacted by the data breach as soon as possible. To fulfil legal obligations and ensure transparency, compliance with notice and reporting requirements is crucial.

7. Strengthened Security procedures: Organisations frequently review and tighten their security procedures in response to data breaches. This can entail making investments in reliable cybersecurity solutions, putting encryption and access controls in place, performing routine security assessments, and improving employee awareness and training.

Organisations should prioritise preventative measures like putting in place strong security protocols, performing routine risk assessments, educating staff about data protection policies, and creating an incident response plan to deal with potential breaches in order to lessen the impact and ramifications of data breaches.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#DataBreach , #Cybersecurity

#DataProtection , #DataPrivacy

#InformationSecurity , #DataSecurity

#DataCompliance , #DataRisk

#DataGovernance , #CyberThreats

#DataIntegrity , #DataLoss

#BreachResponse , #DataRegulations

#DataAudit , #DataTransparency

#IncidentResponse , #PrivacyBreach

#DataResilience , #CyberAwareness

Celebrating MSME Day: Empowering Small Businesses for a Sustainable Future

Small and Medium-sized Enterprises (SMEs) play a crucial role in driving economic growth, fostering innovation, and creating employment opportunities worldwide. In recognition of their significance, MSME Day is celebrated annually on June 27th to raise awareness about the importance of empowering small businesses for a sustainable future. This day serves as a reminder of the challenges faced by MSMEs and highlights the need for supportive policies and initiatives to ensure their success. This article explores the significance of MSMEs, their role in sustainability, and the measures needed to empower them. Additionally, a case study exemplifying the positive impact of empowering MSMEs will be presented.

The Impact of Empowering MSMEs in a Local Community

In the rural village of Grameen, located in a developing country, a group of determined individuals came together to establish a cooperative of women artisans. These artisans possessed exceptional craftsmanship skills in weaving traditional textiles but struggled to access markets and lacked business knowledge. Recognizing the potential of these artisans, a local NGO partnered with them to provide training, access to finance, and market linkages.

Through the empowerment initiatives, the women artisans gained valuable knowledge in product diversification, quality control, and marketing strategies. They also received financial support to upgrade their equipment and enhance the efficiency of their production process. Moreover, the NGO helped them establish connections with national and international buyers, enabling them to access new markets and increase their customer base.

As a result of these interventions, the cooperative of women artisans experienced remarkable growth and transformation. Their income levels significantly improved, leading to enhanced living standards for themselves and their families. The increased financial stability empowered the artisans to invest in their children's education and healthcare, ensuring a better future for the next generation.

Furthermore, the cooperative's success had a cascading effect on the local community. It sparked the creation of new businesses, such as transport services for the cooperative's products and local eateries catering to visiting tourists. This created employment opportunities and stimulated economic growth within the community, reducing dependency on external aid.

The empowerment of MSMEs in Grameen not only led to economic prosperity but also had a positive environmental impact. The cooperative adopted sustainable production practices, using natural dyes and organic materials, thereby preserving local ecosystems and promoting responsible consumption. Additionally, the women artisans actively participated in awareness campaigns about environmental conservation, fostering a culture of sustainability within their community.

MSMEs are the backbone of economies worldwide, and their empowerment is crucial for a sustainable future. Through case studies like the one presented above, it becomes evident that empowering MSMEs can lead to positive socio-economic and environmental outcomes. By providing them with access to finance, capacity-building initiatives, market linkages, and supportive policies, governments, NGOs, and other stakeholders can create an enabling environment for the growth and success of small businesses.

Empowering MSMEs not only improves the livelihoods of entrepreneurs and their employees but also stimulates local economies, reduces poverty, and promotes sustainable development. It enables communities to harness their potential, foster innovation, and contribute to a greener and more inclusive world. As we celebrate MSME Day, let us renew our commitment to supporting small businesses, recognizing their vital role in building a sustainable and prosperous future for all.

Financially Independent with Hybrid Work Model

Financially Independent with Hybrid Work Model

Being financially independent with a Hybrid Work Model refers to achieving a level of financial stability and freedom while working in a combination of remote and in-person environments. This model allows individuals to have greater control over their time, location, and work-life balance. Here are some steps to work towards financial independence with a Hybrid Work Model:

Assess your current financial situation:

Take stock of your income, expenses, savings, and investments. Understand your financial goals and determine the level of financial independence you wish to achieve.

Create a Budget:

Develop a comprehensive budget that takes into account your income, expenses, and savings goals. Track your spending and identify areas where you can cut back and save more.

Save and Invest:

Aim to save a portion of your income regularly. Build an emergency fund that covers at least 3-6 months of expenses. Consider investing in diversified assets such as stocks, bonds, real estate, or mutual funds to grow your wealth over time.

Develop Multiple Income Streams:

Relying solely on a single job may limit your financial independence. Explore ways to diversify your income by starting a side business, freelancing, investing in rental properties, or earning passive income through investments or royalties.

Upgrade your Skills:

In a Hybrid work environment, having in-demand skills is crucial. Continuously invest in your personal and professional development to enhance your marketability and increase your earning potential. Take courses, attend workshops, or pursue certifications to stay relevant in your industry.

Negotiate Flexible Work Arrangements:

Approach your current employer or explore new job opportunities that offer a Hybrid Work Model. Negotiate flexible work hours, remote work options, or a reduced workweek to gain more control over your time and location.

Maintain a Strong Work Ethic:

Although Hybrid work provides flexibility, it's important to maintain a strong work ethic and deliver results. Demonstrate your value and productivity to ensure your employers or clients view you as a reliable and valuable asset.

Manage your Time Effectively:

With a Hybrid Work Model, it's crucial to manage your time efficiently. Establish a routine, set clear boundaries between work and personal life, and prioritize tasks to ensure productivity and work-life balance.

Monitor and Adapt:

Regularly review and evaluate your financial goals, income streams, and work arrangements. Make adjustments as needed to stay on track towards financial independence.

An Employee with a monthly salary of 𝟑𝟎𝐤-𝟓𝟎𝐊 INR giving rent of 𝟏0𝐤-𝟐𝟎𝐤 INR in Mumbai / Delhi / Pune and other Metro Cities.

Currently,

He / She is a bachelor but his / her expenses will be increased as per the time with the salary.

The question is, will he be ever Financially Independent?

𝐀 𝐛𝐢𝐠 𝐍𝐎

He / She will never get rid out of from this Loop

Because of Number of Expenses are waiting for him next in a row

[1] Purchasing of Car, Bike on EMI

[2] Family planning and Expenses

[3] Health Insurance EMI

[4] Term Insurance EMI

[5] Children education

[6] Home Rent or EMI

[7] Vacations / Investments

[8] Other Miscellaneous Expenses

𝐈𝐟 𝐰𝐨𝐫𝐤 𝐟𝐫𝐨𝐦 𝐡𝐨𝐦𝐞 𝐰𝐚𝐬 𝐧𝐨𝐭 𝐚𝐥𝐥𝐨𝐰𝐞𝐝 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐥𝐢𝐧𝐞 𝐭𝐡𝐞𝐧 𝐡𝐨𝐰 𝐡𝐚𝐯𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐦𝐚𝐝𝐞 𝐛𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐚𝐬𝐭 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬 𝐝𝐞𝐬𝐩𝐢𝐭𝐞 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐞𝐬 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐡𝐨𝐦𝐞?

𝟗𝟗% 𝐨𝐟 𝐒𝐚𝐥𝐚𝐫𝐢𝐞𝐝 𝐩𝐞𝐨𝐩𝐥𝐞 do jobs till retirement because nothing is in their favor. They do not explore any other things.

𝟖𝟎% 𝐨𝐟 𝐬𝐚𝐥𝐚𝐫𝐢𝐞𝐝 𝐩𝐞𝐨𝐩𝐥𝐞 live Stressful Life

The pandemic helped to bring some changes but again people are forcefully coming to the pre-covid level (Reason of covid).

The Disadvantage of Working from the Office

[1] People can't save and invest their money

[2] Health is getting affected due to increasing pollution

[3] Pollution is increasing in metro cities

[4] The population is increasing in metro cities

[5] Expenses become 2x, 3x, and 5x in metro cities

[6] 90% of employees leave their families due to work from the office

[7] Most the employees spend less time with their family

[8] Mental health is destroying

[9] Consumption of drugs, smoking, and alcohol is increasing due to stress and anxiety

[10] Quality of life is a myth in the new modern world

Advantages of Working from Home

[1] People can save and invest their money

[2] Pollution will be less, due to less travel

[3] Consumption will be less which leads to a healthy environment

[4] Mental health improves in work from home

[5] People can spend a good amount of time with family

[6] People can reach a wider audience through their online mediums

[7] People can explore other things

[8] People do not need to take huge leaves for their personal works

[9] Migrant employees can save their hard earn money

[10] Quality and productivity will improve in the work

The real Hybrid Model doesn't work for Migrant Employees, Hybrid work Model should be 1-3 Days only in a Month, not in a Week.

𝐘𝐨𝐮𝐫 𝐦𝐞𝐧𝐭𝐚𝐥 𝐡𝐞𝐚𝐥𝐭𝐡 𝐢𝐬 𝐦𝐨𝐫𝐞 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐡𝐚𝐧 𝐚𝐧𝐲𝐭𝐡𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝 𝐭𝐚𝐤𝐞 𝐢𝐭 𝐨𝐧 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲. 𝐎𝐧𝐜𝐞 𝐭𝐢𝐦𝐞 𝐢𝐬 𝐠𝐨𝐧𝐞 𝐲𝐨𝐮 𝐜𝐚𝐧'𝐭 𝐬𝐚𝐯𝐞 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐰𝐢𝐭𝐡 𝐡𝐮𝐠𝐞 𝐝𝐚𝐦𝐚𝐠𝐞𝐬.

Remember, achieving financial independence takes time and discipline. It's a journey that requires careful planning, persistence, and adaptability.

Media Giant Axel Springer Implements Radical Changes: 20% Workforce Cut and AI Replacing Editors Anushree Shinde

Media Giant Axel Springer Implements Radical Changes: 20% Workforce Cut and AI Replacing Editors Anushree Shinde

Germany's leading publisher, Axel Springer, has recently announced plans to cut jobs at its renowned news titles, Bild and die Welt. CEO Mathias Döpfner informed employees about significant reductions in production, layout, proofreading, and administration departments. While the exact number of job cuts remains undisclosed, the company aims to implement a voluntary severance program to minimize compulsory redundancies. These measures come as Axel Springer targets a €100 million ($106 million) improvement in its German results over the next three years through increased turnover and cost reductions.

Döpfner emphasized the importance of developing well-paid and sustainable digital subscriptions for Bild and die Welt. With a strong online presence already, the publications are expanding into online broadcasting to adapt to changing consumer preferences. Axel Springer recognizes the need for digital transformation to secure its future and find innovative ways to monetize its digital content.

Acknowledging the rising impact of artificial intelligence (AI) on journalism, Döpfner expressed concerns about potential job obsolescence. He highlighted AI's potential to excel at information aggregation, surpassing human journalists in the near future. To remain relevant, media outlets must focus on generating exclusive news, original commentary, and captivating features.

Investigative journalism, personality-driven features, and entertainment coverage were deemed increasingly important for the media business. While AI-powered tools promise a revolution in information delivery, Döpfner emphasized that journalists will continue to play a vital role in understanding the true motives behind events.

Axel Springer's announcement reflects the challenges faced by traditional media in adapting to the digital era. Prioritizing digital subscriptions and diversifying revenue streams have become essential for survival. Balancing the benefits of AI with the preservation of journalistic integrity will be key to success as media organizations navigate this transformative period.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#AxelSpringer , #JobCuts , #DigitalTransformation , #MediaIndustry , #AIImpact , #Journalism , #DigitalSubscriptions , #CostReductions , #FutureofMedia , #InvestigativeJournalism , #MediaTransition

The Dual Impact of AI on Hiring Bias: Mitigation or Amplification Anushree Shinde

The Dual Impact of AI on Hiring Bias: Mitigation or Amplification Anushree Shinde

With the potential to simplify and enhance recruiting procedures, artificial intelligence (AI) is a technique that is being used more and more frequently in the hiring process. However, there is rising worry about how AI can affect employment discrimination. Through objective decision-making, AI has the ability to reduce bias, but there are also times when it can unintentionally increase preexisting biases. In this essay, we will examine the dual effects of artificial intelligence (AI) on hiring prejudice, including both its potential to reduce bias and the risks of amplification, as well as measures to assure honest and moral AI-driven recruiting practises.

1. Bias reduction through impartial decision-making:

The capacity of AI to make defensible conclusions based on data analysis and algorithms is one of the technology's significant advantages in the recruiting process. AI may be able to lessen prejudice at many phases of the hiring process, including resume screening, candidate evaluation, and selection, by eliminating human subjectivity and relying on data-driven insights. In order to promote fairness and meritocracy, algorithms can be created to evaluate candidates based on their relevant education and experience, rather than their demographics.

2. Dangers of Increasing Bias in AI Algorithms

Although AI has the ability to reduce prejudice, it is nevertheless susceptible to the biases present in the training data. Biases may persist and possibly become more pronounced during the recruiting process if biases were present in the previous data used to train AI models. For instance, AI algorithms may unintentionally learn and reinforce biases when making employment decisions if historical data shows inequalities in gender or racial representation. This may result in unintentional discrimination and help to maintain ingrained biases.

3. Ethical creation and Evaluation of AI Models: It is essential to ensure the ethical creation and evaluation of AI models used in recruiting in order to reduce the dangers of bias amplification. This entails paying close attention to the training data, finding and correcting any biases, and regularly assessing and reassessing the effectiveness of AI systems. Any unintended biases can be found and eliminated with the use of algorithmic decision-making and development process transparency.

4. varied and Inclusive Training Data: Having varied and inclusive training data is crucial for reducing bias in AI algorithms. AI models can be trained to make equitable and inclusive employment decisions by combining a wide range of representative data, including applicants from different backgrounds, genders, colours, and experiences. Potential biases can be detected and corrected with the involvement of varied viewpoints in the creation and review processes.

5. Human-AI Collaboration: A balanced hiring strategy entails working together with human and AI decision-makers. While AI can offer unbiased perceptions and suggestions, human oversight is necessary to ensure justice, contextual comprehension, and ethical judgement. Particularly in complex and nuanced scenarios, human engagement can assist in addressing biases that AI algorithms may not be able to uncover. Making employment judgements that are more fair and well-informed can result from combining the advantages of AI and human experience.

6. Continuous Monitoring and Evaluation: To identify and correct biases, AI algorithms employed in recruiting should be continuously monitored and assessed. Regular audits and assessments can help find any unintentional discriminatory practises and allow for quick algorithmic changes. Through this iterative process, AI systems are guaranteed to develop and get better over time, adapting to shifting society standards and developing employment practises that are fair.

Bias in the employment process has the potential to be both reduced and amplified by AI. While it can support justice and provide objective decision-making, there are concerns related to biassed data and algorithmic amplifying of preexisting biases. It is essential to build AI models with inclusive and diverse data, provide human oversight and intervention, and regularly monitor and evaluate their performance if we are to fully realise the potential of AI while maintaining fair and ethical hiring practises. Organisations may negotiate the contradictory effects of AI on hiring prejudice and aim to create a more inclusive and equitable workforce by using these measures.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

https://www.anxietyattak.com/2023/06/the-dual-impact-of-ai-on-hiring-bias.html

#AIinHiring , #BiasMitigation

#EthicalAI , #FairHiring

#DiversityandInclusion , #AlgorithmicBias

#AIethics , #BiasAmplification

#InclusiveRecruitment , #HumanAIcollaboration

#DataEthics , #FairAlgorithms

#EqualOpportunity , #EthicalRecruitment

#TransparencyinAI

Unveiling the Blueprint for Success as a Data Scientist Anushree Shinde

Unveiling the Blueprint for Success as a Data Scientist Anushree Shinde

In the digital age, data science has become one of the most in-demand and promising job pathways. Organisations in a wide range of industries are turning to data scientists to mine the ever-growing amount of data being produced for insightful information that will help them make well-informed decisions. It's crucial to comprehend the road map that can lead you to success if you want to become a professional data scientist. In this article, we'll lay out the essential actions and abilities you'll need to master in order to succeed as a data scientist.

1. Establish a Firm Foundation in Mathematics and Statistics: A strong foundation in mathematics and statistics is essential for starting a successful career as a data scientist. The foundation of data science is made up of ideas from linear algebra, probability theory, and statistical inference. Build a solid foundation by being familiar with these key ideas so that you may successfully use advanced strategies and models.

2. Master Programming Languages and Tools: Any prospective data scientist must be proficient in programming languages and data science tools. The widely used programming languages Python and R are renowned for their adaptability and large libraries specifically designed for data analysis and machine learning. Additionally, become familiar with well-known data science tools like TensorFlow, Scikit-Learn, and Jupyter Notebook as they offer effective frameworks for data manipulation, modelling, and visualisation.

3. Become knowledgeable about machine learning and artificial intelligence (AI): The foundation of data science is machine learning and AI. Learn about several machine learning algorithms, such as deep learning, clustering, classification, and regression. To successfully create predictive models and draw insights from data, it is important to comprehend the underlying ideas, concepts, and approaches. Keep up with the most recent developments in AI to take use of cutting-edge tools and techniques.

4. Develop Your Data Wrangling and Data Visualisation Skills: Data scientists spend a lot of time transforming, cleaning, and getting ready data for analysis. Learn how to handle missing data, outliers, and data normalisation to develop strong data wrangling abilities. Learn how to produce eye-catching visualisations that clearly convey findings to stakeholders. You may help make data presentations that are both aesthetically pleasing and useful by using tools like matplotlib, seaborn, and Tableau.

5. Adopt a problem-solving mindset: At their core, data scientists are problem solvers. By exercising critical thinking, logical reasoning, and innovative problem-solving methods, you can cultivate a problem-solving attitude. In the field, it is highly valued to be able to formulate business challenges as data-driven questions and come up with original solutions. Keep pushing yourself with practical tasks, and look for chances to use data science to tackle challenging issues.

6. Create a Strong Portfolio of Projects: It's important to create a strong portfolio of data science projects to demonstrate your abilities and experience to potential employers or clients. Engage in individual or group initiatives that highlight your capacity to glean insights from data, create models, and generate value from it. Present your work on websites like GitHub or Kaggle to earn recognition in the data science community and get suggestions on how to strengthen your abilities.

7. Keep Learning and Being Curious: Data science is a quickly evolving area, and it takes constant learning to stay on top. Follow the most recent developments in data science methodology, market trends, and research. Join online forums, meetups, and conferences to interact with the data science community, build a professional network, and learn from others' experiences. To expand your knowledge and experience, enrol in higher education programmes, online courses, or certificates.

A successful data scientist needs a mix of technical abilities, subject-matter expertise, and a problem-solving approach. You can put yourself on the road to success by following the guidelines provided in this article, which include establishing a solid mathematical foundation, mastering programming languages and tools, learning about machine learning and artificial intelligence, honing your data wrangling and visualisation skills, adopting a problem-solving mindset, creating a portfolio, and remaining curious and constantly learning. Keep in mind that data science is an exploration and innovation-driven journey, and that with hard work and determination, you may open the door to a fulfilling career in this fascinating subject.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#DataScience , #DataScientist

#DataAnalytics , #MachineLearning

#ArtificialIntelligence , #BigData

#DataDriven , #TechCareer

#DataScienceJobs , #DataVisualization

#StatisticalAnalysis , #Python

#RProgramming , #DataMining

#PredictiveModeling

Media Giant Axel Springer Implements Radical Changes: 20% Workforce Cut and AI Replacing Editors Anushree Shinde

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#AxelSpringer , #JobCuts , #DigitalTransformation , #MediaIndustry , #AIImpact , #Journalism , #DigitalSubscriptions , #CostReductions , #FutureofMedia , #InvestigativeJournalism , #MediaTransition

Unlocking Business Potential: An Introduction to Data as a Service (DaaS) Anushree Shinde

Unlocking Business Potential: An Introduction to Data as a Service (DaaS) Anushree Shinde

Data has risen to the top of the most important assets for organisations across all industries in the current digital era. It gives organisations a competitive edge, facilitates decision-making, and delivers insights. But making the most of data's potential can be difficult and time-consuming. Data as a Service (DaaS) can be useful in this situation.

Data as a Service, or DaaS for short, is a cloud-based service that enables companies to access and use data without the need for a significant infrastructure or data management expertise. Organisations can concentrate on using the data to drive innovation and make wise business decisions since DaaS providers gather, curate, and provide data to them on demand.

1. Cost effectiveness: DaaS frees organisations from having to spend money on expensive data infrastructure and upkeep. Instead, organisations can use a subscription-based approach to obtain the data they require, which lowers up-front expenses and enables better budget control.

2. Scalability: DaaS vendors provide scalable solutions, enabling businesses to quickly modify their data demands in accordance with their requirements. DaaS may support expansion without the need for major infrastructure investments, regardless of whether an organisation needs small or large data volumes.

3. Data Quality and Reliability: Data as a Service (DaaS) providers are experts in data management and guarantee the high quality and dependability of the data that is given. To clean, validate, and enrich the data, they use a variety of ways, giving organisations reliable and recent information.

4. Time Savings: Gathering and organising data can take a lot of time. Organisations can access pre-gathered and pre-processed data using DaaS, saving time and facilitating quicker decision-making.

5. Focus on Core skills: Businesses can concentrate their resources and expertise on their core skills by outsourcing data management to DaaS providers. This enables businesses to focus on creating goods, providing services, and enhancing consumer experiences.

Businesses now have a flexible and effective approach to take use of data's potential thanks to data as a service (DaaS), which eliminates the need for expensive infrastructure and specialised knowledge. Organisations may access high-quality data, save money, time, and focus on their core capabilities by utilising DaaS. A significant tool for fostering innovation, enhancing decision-making procedures, and obtaining a competitive edge in today's data-driven business environment, DaaS has a wide range of application cases.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

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LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

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Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

Unlocking Business Potential: An Introduction to Data as a Service (DaaS) Anushree Shinde

#DataAsAService , #DataDriven

#BusinessIntelligence , #DataAnalytics

#BigData , #CloudComputing

#DataManagement , #DigitalTransformation

#DataInsights , #DataDrivenDecisions

#DataStrategy , #DataInnovation

#DataQuality , #DataSecurity

#DataPrivacy , #ScalableData

#DataInfrastructure , #DataScience

#DataSolutions , #DataVisualization

Exploring Learning Opportunities with Infosys Springboard: AI and Generative AI Certification Programs Anushree Shinde

IT services company Infosys has recently introduced a free artificial intelligence (AI) certification training program on its virtual learning platform called Infosys Springboard. The initiative aims to equip learners with essential AI skills, including Generative AI, to enhance their employability in the job market. With the guidance of Infosys' AI-first specialists and data strategists, the curriculum is designed to provide learners with future-ready expertise.

Certification in AI and Generative AI Skills:

Infosys Springboard Virtual Learning Platform will offer certifications in AI and Generative AI skills, which are becoming increasingly crucial for job seekers. The program covers various topics related to AI, such as deep learning, natural language processing, and the impact of Generative AI. Learners who successfully complete the courses will receive a certificate recognizing their achievement.

Citizens Data Science Course:

One of the specialized courses included in the certification program is 'Citizens Data Science.' This course aims to cover different aspects of the data science discipline, including Python programming, linear algebra, probability and statistics, and exploratory data analysis. Learners will gain comprehensive knowledge in these areas and receive a certificate upon completion.

Infosys Springboard Virtual Learning Platform:

Infosys Springboard is a virtual learning platform that offers a curriculum-rich environment for learners of all ages. It caters to students from Class 6 to lifelong learners, providing corporate-grade learning experiences accessible on any device. The platform fosters closer collaboration between educators and learners, enhancing the overall learning experience.

Accelerating Digital Re-skilling:

Infosys emphasizes the importance of combining formal education with initiatives like Springboard to accelerate digital re-skilling. The program is open to a diverse range of participants, including school and college students, professionals, and adults. It serves as a valuable resource for individuals seeking to develop their AI expertise and adapt to the evolving digital landscape.

Infosys' launch of the free AI certification training on Infosys Springboard Virtual Learning Platform demonstrates their commitment to empowering individuals with essential AI skills. By offering comprehensive courses and certifications in AI and Generative AI, as well as a specialized Citizens Data Science course, Infosys aims to equip learners with the necessary knowledge to thrive in the job market. With its accessible virtual learning environment, Springboard provides a valuable avenue for digital re-skilling and lifelong learning.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

https://www.anxietyattak.com/2023/06/exploring-learning-opportunities-with.html

#InfosysAIcertification , #AItraining , #SpringboardLearning , #FutureReadySkills, #GenerativeA,I #DataScienceCourse , #DigitalReskilling , #VirtualLearningPlatform, #AIEducation , #LifelongLearning , #EmpoweringLearners , #TechSkills , #AIJobMarket , #CorporateGradeLearning , #InfosysSpringboard , #AIforAll , #DigitalTransformation , #AIExpertise , #Upskilling , #CareerDevelopment

5 Essential Business Technologies Every Entrepreneur Should Utilize Anushree Shinde

Utilising technology to improve business operations and maintain competitiveness in the current digital environment is crucial for entrepreneurs. The following are five crucial business technology that every business owner should think about implementing:

1. Cloud Computing: Rather of relying on regional servers or hardware, cloud computing enables you to store and access data, applications, and resources online. You may increase collaboration, scale your organisation more effectively, and streamline data management by implementing cloud-based solutions.

2. Use customer relationship management (CRM) software to organise and keep track of your communications with clients, leads, and prospects. You may use it to manage customer data, monitor sales activity, automate marketing campaigns, and deliver individualised customer experiences, all of which will increase client retention and happiness.

3. Project Management Tools: These tools make it easier to plan, organise, and carry out activities and projects effectively. You can make and assign tasks, establish due dates, monitor progress, and successfully work with team members thanks to them. These tools facilitate workflows, boost output, and guarantee project success.

4. Online Payment Systems: In the modern digital economy, it is crucial to provide safe and practical online payment solutions. Customers may simply and securely make purchases or payments when you integrate online payment systems into your business. You may increase your consumer base, enhance cash flow, and offer a seamless shopping experience with the aid of this technology.

5. Cybersecurity Solutions: In today's connected world, protecting your company from cyber threats is essential. Protect your sensitive information, customer data, and intellectual property from potential breaches and cyberattacks by putting in place strong cybersecurity measures including firewalls, antivirus software, encryption tools, and routine data backups.

You can improve productivity, streamline operations, and position your company for long-term success by adopting these crucial business technology into your entrepreneurial path.co

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

https://www.anxietyattak.com/2023/06/5-essential-business-technologies-every.html

#BusinessTechEssentials , #EntrepreneurTools , #TechforSuccess , #MustHaveBusinessTech, #TechSavvyEntrepreneur , #DigitalTransformation , #ProductivityBoost , #CloudComputing, #DataAnalytics , #AutomationSolutions , #CollaborationTools , #MobileApplications, #EcommercePlatforms , #CybersecurityMeasures , #CRMSoftware , #OnlineMarketingTools , #EmergingTech , #InnovationDriven , #TechAdvancements , #FutureOfBusiness

Elon Musk Confirms Tesla's Entry into Indian Market and Starlink's Plans for Broadband Internet in India Anushree Shinde

Elon Musk Confirms Tesla's Entry into Indian Market and Starlink's Plans for Broadband Internet in India Anushree Shinde

In an eagerly awaited meeting between Tesla CEO Elon Musk and Indian Prime Minister Narendra Modi, held at the New York Palace Hotel during the Prime Minister's visit to the United States, Musk unveiled plans for Tesla's entry into the Indian market. The announcement comes after years of anticipation surrounding the electric automobile manufacturer's potential expansion into India.

Expressing his gratitude to Prime Minister Modi for his support, Musk confidently stated, "I am confident that Tesla will be in India and will do so as soon as humanly possible." Although he refrained from providing specific details, Musk expressed hope that there would be an announcement "in the not-so-distant future," emphasizing the importance of avoiding premature declarations.

When questioned about potential investments in India, Musk responded, "It's quite likely that there will be a significant investment and relationship with India in the future." He further revealed his anticipation for a visit to India next year, following what he described as an "excellent conversation" with Prime Minister Modi.

Describing the meeting as "fantastic," Musk recalled his previous encounter with Prime Minister Modi during his visit to the Tesla CEO's factory in 2015. The billionaire entrepreneur praised Modi's commitment to India and acknowledged his influence in encouraging Tesla to make substantial investments in the country.

During the discussions, Musk emphasized the significance of sustainable energy investments in India and commended the country's proficiency in solar energy generation. He emphasized the importance of solar energy in the electric vehicle sector, highlighting its low-cost nature and its potential to contribute to a sustainable energy future.

Additionally, Musk expressed his intention to bring his renowned Starlink internet satellite network to India, stating that it could provide invaluable internet services to remote rural villages where access is currently limited or expensive. He cited the example of Starlink's contribution to Ukraine during its conflict with Russia, underlining the network's potential for bridging the digital divide in underserved areas.

Tesla's entry into the Indian market holds great promise for the country's electric vehicle industry and its renewable energy ambitions. With Musk's optimistic outlook and commitment to India, the future looks bright for Tesla's expansion plans and its potential collaborations with the Indian government and businesses.

As Tesla's presence in India draws closer, stakeholders eagerly await further updates and the positive impact the company could have on the Indian automotive sector, renewable energy landscape, and technological advancements as a whole.

👍Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

+91 9011586711

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#TeslaIndia , #ElonMusk , #IndiaTech , #ElectricVehicles , #RenewableEnergy, #SustainableFuture , #InvestmentInIndia , #Starlink , #DigitalEmpowerment , #TechCollaboration

Big Banks Compete with Fin-Techs in QR Code Adoption for Credit Expansion Aparna Thakur

In recent years, the financial industry has witnessed a significant shift in the way transactions are conducted and payments are processed. One of the emerging trends that has gained traction globally is the adoption of QR codes for payments and credit expansion. QR codes, or Quick Response codes, are two-dimensional barcodes that can be scanned by smartphones to facilitate various transactions. This technology has revolutionized the way people make payments, and both traditional big banks and fintech companies are vying for a piece of the action. This case study explores the competition between big banks and fintechs in the adoption of QR codes for credit expansion.

Big banks, with their well-established infrastructure and extensive customer base, have traditionally dominated the credit market. However, the rise of fintech companies has disrupted the industry by introducing innovative solutions and leveraging technological advancements. Fintechs, being more agile and nimble, have quickly embraced QR code technology to offer faster, more convenient credit options to their customers. By using QR codes, fintechs can streamline the credit application process, reduce paperwork, and expedite approvals, providing a seamless experience to borrowers.

On the other hand, big banks have recognized the potential of QR codes and are keen to integrate this technology into their operations. They understand that embracing QR codes can help them remain competitive and tap into new customer segments. Many big banks have launched their own mobile applications with QR code capabilities, allowing customers to initiate credit applications, track their status, and make payments seamlessly. By integrating QR codes into their existing infrastructure, big banks aim to combine the convenience of fintechs with the reliability and trust associated with traditional banking institutions.

One of the key advantages that big banks have over fintechs in the adoption of QR codes is their extensive branch network. While fintechs primarily operate digitally, big banks have physical branches that can serve as QR code payment points. This gives them an edge in reaching customers who are not yet fully comfortable with digital transactions or those in remote areas with limited internet access. Big banks can leverage their physical presence to educate customers about QR codes and build trust in the new payment method, ultimately driving credit expansion.

Despite the competition between big banks and fintechs, there is also potential for collaboration and partnership. Some fintech companies have entered into strategic alliances with big banks to leverage their infrastructure, regulatory compliance, and customer base. By joining forces, they can combine the strengths of both entities and offer a comprehensive suite of financial services, including QR code-based credit expansion. Such collaborations enable big banks to tap into fintech innovations while fintechs benefit from the stability and credibility of established banking institutions.

The adoption of QR codes for credit expansion has become a battleground for big banks and fintechs. Both sides recognize the potential of this technology in revolutionizing the way credit is extended and payments are made. Fintechs, with their agility and customer-centric approach, have embraced QR codes early on and provided innovative credit solutions. Big banks, with their infrastructure and wide customer reach, are catching up by integrating QR codes into their operations and leveraging their physical presence. The competition between big banks and fintechs in QR code adoption for credit expansion will continue to drive advancements in the financial industry, benefiting customers with more accessible and convenient credit options.

Aparna Thakur

(Fin-Tech manager)

10bestincity@gmail.com

aparna10bestincity@gmail.com

www.10BestIncity.com

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LinkedIn: www.linkedin.com/in/

aparna-thakur08

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https://www.portrait-business-woman.com/2023/05/aparna-thakur.html

#banks, #finance, #money, #banking, #cryptocurrency, #bitcoin, #bank, #business, #blockchain, #realestate #sashabanks #crypto #cash, #financialfreedom, #fintech, #creditunions ,#india, #economy, #easypaytment, #forex, #investment, #trading,#qrcode, #payments#adoptionmethod,#fintech

@State Bank of India @Bank of India @HDFC Bank @ICICI Bank @ Indusland Bank @Canara Bank @punjab National Bank @ Axis Bank @Bank of Baroda @UCO Bank

@Shekhar Gupta @10Bestincity@Aparna Thakur

Promising Industries for Entry-level Data Analysts: Opportunities for Freshers Anushree Shinde

Promising Industries for Entry-level Data Analysts: Opportunities for Freshers Anushree Shinde

There are many industries that provide potential prospects for newcomers as entry-level data analysts. The following are some sectors where you can find entry-level data analyst positions:

1. Technology and software: The data analysis industry is booming in this field, and entry-level analysts have a tonne of chances. Businesses in this industry gather enormous amounts of data, which professionals are needed to analyse and extract insights from. Software development firms, IT consulting businesses, and tech startups fall under this category.

2. Financial Services: For risk assessment, fraud detection, market research, and consumer profiling, the financial services sector significantly relies on data analysis. Among the corporations in this industry that employ data analysts are banks, insurance providers, investment houses, and credit card issuers.

3. Healthcare: Through electronic health records, clinical studies, and patient information, the healthcare sector creates enormous amounts of data. To enhance patient outcomes, streamline healthcare operations, and aid in medical research, data analysts are required.

4. E-commerce and retail: E-commerce platforms and retail businesses collect a tonne of information about their customers, including transactional, inventory, and financial data. Data analysts provide better inventory management, pricing strategy optimisation, consumer behaviour comprehension, and overall business performance.

5. Marketing and advertising: In the digital age, marketing and advertising campaigns significantly rely on data analysis to gauge their success, target particular demographics, and create tailored marketing messages. Analysing consumer information, market trends, and campaign performance measurements are key tasks for data analysts.

6. Manufacturing and Supply Chain: Businesses engaged in manufacturing and supply chain operations generate a substantial amount of data about logistics, inventory control, and production procedures. Data analysts aid in supply chain efficiency improvement, manufacturing process optimisation, and bottleneck identification.

7. Energy and Utilities: The energy industry, which includes renewable energy, gathers information from a variety of sources, including smart grids, sensors, and patterns of energy usage. Data analysts can help with energy management strategy development, usage pattern analysis, and production optimisation.

8. Government and Public Sector: Both the government and the public sector deal with massive amounts of data pertaining to social programmes, policy-making, and public services. Data analysts can analyse demographic trends, assess programme efficacy, and assist evidence-based decision making.

Though these sectors present exciting potential, keep in mind that the need for data analysts may differ depending on factors including geographic location, industry trends, and market conditions. To get relevant experience, it's always a good idea to investigate particular employment markets and look into internships or entry-level positions in your target industry.

Anushree Shinde[ MBA]

Business Analyst

10BestInCity.com Venture

+91 9011586711

anushree@10bestincity.com

10bestincityanushree@gmail.com

www.10BestInCity.com

Linktree:https://linktr.ee/anushreeas?utm_source=linktree_profile_share

LinkedIn: https://www.linkedin.com/in/anushree-shinde20

Facebook: https://shorturl.at/hsx29

Instagram: https://www.instagram.com/10bestincity/

Pinterest: https://in.pinterest.com/shekharcapt/best-in-city/

Youtube: https://www.youtube.com/@10BestInCity

Email: info@10bestincity

https://www.portrait-business-woman.com/2023/05/anushree-shinde.html

#DataAnalysis , #DataAnalytics

#DataScience , #DataJobs

#EntryLevelOpportunities , #Freshers

#DataCareer , #DataDriven

#TechJobs , #AnalyticsJobs

#JobSearch , #DataInsights

#CareerDevelopment , #DataIndustry

#NewGradJobs , #DataSkills

#DataVisualization , #JobHunting

#TechIndustry , #BusinessIntelligence