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It is an honor to be here with you today in this grand hall, a room that represents what is possible when people of different backgrounds, histories and philosophies come together to build something bigger than themselves.

I am deeply grateful to our hosts. I want to recognize Ventsislav Karadjov for his service and leadership. And it’s a true privilege to be introduced by his co-host, a statesman I admire greatly, Giovanni Butarelli.

Now Italy has produced more than its share of great leaders and public servants. Machiavelli taught us how leaders can get away with evil deeds and Dante showed us what happens when they get caught.

Giovanni has done something very different. Through his values, his dedication, his thoughtful work, Giovanni, his predecessor Peter Hustinx—and all of you—have set an example for the world. We are deeply grateful.

We need you to keep making progress—now more than ever. Because these are transformative times. Around the world, from Copenhagen to Chennai to Cupertino, new technologies are driving breakthroughs in humanity’s greatest common projects. From preventing and fighting disease, to curbing the effects of climate change, to ensuring every person has access to information and economic opportunity.

This crisis is real. It is not imagined or exaggerated or crazy. And those of us who believe in technology’s potential for good must not shrink from this moment.

Now, more than ever—as leaders of governments, as decision-makers in business and as citizens—we must ask ourselves a fundamental question: What kind of world do we want to live in?

I’m here today because we hope to work with you as partners in answering this question.

At Apple, we are optimistic about technology’s awesome potential for good. But we know that it won’t happen on its own. Every day, we work to infuse the devices we make with the humanity that makes us. As I’ve said before, technology is capable of doing great things. But it doesn’t want to do great things. It doesn’t want anything. That part takes all of us.

That’s why I believe that our missions are so closely aligned. As Giovanni puts it, we must act to ensure that technology is designed and developed to serve humankind and not the other way around.

We at Apple believe that privacy is a fundamental human right. But we also recognize that not everyone sees things as we do. In a way, the desire to put profits over privacy is nothing new.

As far back as 1890, future Supreme Court Justice Louis Brandeis published an article in the Harvard Law Review, making the case for a “Right to Privacy” in the United States.

He warned: ‘Gossip is no longer the resource of the idle and of the vicious, but has become a trade.’

Today that trade has exploded into a data industrial complex. Our own information—from the everyday to the deeply personal—is being weaponized against us with military efficiency.

Every day, billions of dollars change hands and countless decisions are made on the basis of our likes and dislikes, our friends and families, our relationships and conversations, our wishes and fears, our hopes and dreams.

These scraps of data, each one harmless enough on its own, are carefully assembled, synthesized, traded and sold.

Taken to its extreme, this process creates an enduring digital profile and lets companies know you better than you may know yourself. Your profile is then run through algorithms that can serve up increasingly extreme content, pounding our harmless preferences into hardened convictions. If green is your favorite color, you may find yourself reading a lot of articles—or watching a lot of videos—about the insidious threat from people who like orange.

In the news almost every day, we bear witness to the harmful—even deadly—effects of these narrowed world views.

We shouldn’t sugarcoat the consequences. This is surveillance. And these stockpiles of personal data serve only to enrich the companies that collect them.

This should make us very uncomfortable. It should unsettle us. And it illustrates the importance of our shared work and the challenges still ahead of us.

Fortunately this year you’ve shown the world that good policy and political will can come together to protect the rights of everyone. We should celebrate the transformative work of the European institutions tasked with the successful implementation of the GDPR.

We also celebrate the new steps taken, not only here in Europe, but around the world. In Singapore, Japan, Brazil, New Zealand and many more nations, regulators are asking tough questions and crafting effective reforms.

It is time for the rest of the world—including my home country—to follow your lead.

We at Apple are in full support of a comprehensive federal privacy law in the United States. There and everywhere, it should be rooted in four essential rights.

First, the right to have personal data minimized. Companies should challenge themselves to de-identify customer data—or not to collect it in the first place.

Second, the right to knowledge. Users should always know what data is being collected and what it is being collected for. This is the only way to empower users to decide what collection is legitimate and what isn’t. Anything less is a sham.

Third, the right to access. Companies should recognize that data belongs to users and we should all make it easy for users to get a copy of, correct and delete their personal data.

And fourth, the right to security. Security is foundational to trust and all other privacy rights.

Now, there are those who would prefer I hadn’t said all of that. Some oppose any form of privacy legislation. Others will endorse reform in public, and then resist and undermine it behind closed doors.

They may say to you, ‘Our companies will never achieve technology’s true potential if they are constrained with privacy regulation.’ But this notion isn’t just wrong, it is destructive.

Technology’s potential is—and always must be—rooted in the faith people have in it, in the optimism and creativity that it stirs in the hearts of individuals, in its promise and capacity to make the world a better place.

It’s time to face facts. We will never achieve technology’s true potential without the full faith and confidence of the people who use it.

At Apple, respect for privacy—and a healthy suspicion of authority—have always been in our bloodstream. Our first computers were built by misfits, tinkerers and rebels—not in a laboratory or a board room, but in a suburban garage. We introduced the Macintosh with a famous TV ad channeling George Orwell’s ‘1984,’ a warning of what can happen when technology becomes a tool of power and loses touch with humanity.

And way back in 2010, Steve Jobs said in no uncertain terms: ‘Privacy means people know what they’re signing up for, in plain language—and repeatedly.’

It’s worth remembering the foresight and courage it took to make that statement. When we designed this device we knew it could put more personal data in your pocket than most of us keep in our homes. And there was enormous pressure on Steve and Apple to bend our values and to freely share this information. But we refused to compromise. In fact, we’ve only deepened our commitment in the decade since.

From hardware breakthroughs that encrypt fingerprints and faces securely—and only—on your device to simple and powerful notifications that make clear to every user precisely what they’re sharing and when they are sharing it.

We aren’t absolutists, and we don’t claim to have all the answers. Instead, we always try to return to that simple question: What kind of world do we want to live in?

At every stage of the creative process, then and now, we engage in an open, honest and robust ethical debate about the products we make and the impact they will have. That’s just a part of our culture.

We don’t do it because we have to. We do it because we ought to. The values behind our products are as important to us as any feature.

We understand that the dangers are real—from cyber-criminals to rogue nation states. We’re not willing to leave our users to fend for themselves. And we’ve shown we’ll defend those principles when challenged.

Those values—that commitment to thoughtful debate and transparency—they’re only going to get more important. As progress speeds up, these things should continue to ground us and connect us, first and foremost, to the people we serve.

Artificial intelligence is one area I think a lot about. Clearly it’s on the minds of many of my peers as well.

If we get this wrong, the dangers are profound.

We can achieve both great artificial intelligence and great privacy standards. It’s not only a possibility, it is a responsibility. In the pursuit of artificial intelligence, we should not sacrifice the humanity, creativity and ingenuity that define our human intelligence.

And at Apple, we never will.

In the mid-19th century, the great American writer Henry David Thoreau found himself so fed up with the pace and change of industrial society that he moved to a cabin in the woods by Walden Pond.

Call it the first digital cleanse.

Yet even there, where he hoped to find a bit of peace, he could hear a distant clatter and whistle of a steam engine passing by. ‘We do not ride on the railroad,’ he said. ‘It rides upon us.’

Those of us who are fortunate enough to work in technology have an enormous responsibility. It is not to please every grumpy Thoreau out there. That’s an unreasonable standard and we’ll never meet it.

We are responsible, however, for recognizing that the devices we make and the platforms we build have real, lasting, even permanent effects on the individuals and communities who use them.

We must never stop asking ourselves, what kind of world do we want to live in?

The answer to that question must not be an afterthought, it should be our primary concern.

We at Apple can—and do—provide the very best to our users while treating their most personal data like the precious cargo that it is. And if we can do it, then everyone can do it.

Fortunately, we have your example before us.

Thank you for your work, for your commitment to the possibility of human-centered technology, and for your firm belief that our best days are still ahead of us.

Thank you very much.

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Lawmakers Hammer Tech’s China Policy

WASHINGTON — The nation’s leading technology companies were lectured and hectored yesterday by lawmakers accusing them of collaborating with Chinese censors.

Google, Yahoo, Microsoft and Cisco sat through almost two hours of opening statements – almost all them blisteringly critical of the Internet powerhouses — by a House subcommittee on human rights.

And that was before the lawmakers even began to ask questions, most of which turned out to be pointed and insulting.

“American technology and know-how is substantially enabling repressive regimes in China and elsewhere in the world to cruelly exploit and abuse their own citizens,” Subcommittee Chairman Chris Smith (R-N.J.) said.

“U.S. companies like Google, Yahoo, Cisco and Microsoft have compromised both the integrity of their product and their duties as responsible corporate citizens.”

All four companies have come under intense fire over the last few weeks for their activities in China. Yahoo is known to have turned over the name of at least one cyber dissident to Beijing who subsequently was jailed.

Microsoft recently pulled a blog – at the request of the Chinese government – critical of Beijing. Google agreed to Chinese censorship requirements in return for operating a local Chinese search engine. Cisco sells the majority of routers and switches in China.

All claim they are simply complying with the laws of a country they do business with.

“Instead of using their power and creativity to bring openness and free speech to China, they have caved in to Beijing’s outrageous but predictable demands simply for the sake of profits,” Rep. Tom Lantos (D-Calif.) said.

“My message to these companies today is simple: Your abhorrent activities in China are a disgrace. I simply do not understand how your corporate leadership sleeps at night.”

Lantos added that the four companies need to show more “virtual backbone. What Congress is looking for is real spine and a willingness to stand up to the outrageous demands of a totalitarian regime.”

Smith said he plans to introduce legislation in a few days to bar U.S. employees from turning over identifying information to a “repressive” government and to require Internet companies doing business with Beijing to locate their servers outside of China.

Smith also likened the tech giants’ cooperation with Beijing to IBM’s alleged ties with Nazi Germany, which were recently cited in the book IBM and the Holocaust by Edwin Black.

“Thanks to IBM’s enabling technologies, from programs for identification and cataloging to the use of IBM’s punch card technology, Hitler and the Third Reich were able to automate the genocide of the Jews,” Smith said.

“U.S. technology companies today are engaged in a similar sickening collaboration, decapitating the voice of the dissidents.”

“When Yahoo! China in Beijing was required to provide information about the user, who we later learned was Shi Tao, we had no information about the nature of the investigation,” Yahoo general counsel Michael Callahan said. “Indeed, we were unaware of the particular facts surrounding this case until the news story emerged.”

Callahan added: “Failure to comply in China could have subjected Yahoo! China and its employees to criminal charges, including imprisonment. Ultimately, U.S. companies in China face a choice: comply with Chinese law, or leave.”

The Shi Tao case, he said, was “distressing to our company, our employees and our leadership.”

The Origin Of Big Data Analytics

This article was published as a part of the Data Science Blogathon.

Introduction What is Big Data Analytics?

Definition of Big Data Analytics: Big data analytics helps businesses and organizations make better decisions by uncovering information that would otherwise be hidden.

Without massive computing power, gaining meaningful insights into big data trends, correlations, and patterns cannot be easy. However, the technologies and techniques used in big data analytics make learning from large data sets easy. This includes data of any structure, source, and size.

Big data is only getting more significant with the growth of artificial intelligence, social networks, and the Internet of Things with myriad sensors and devices. Data is measured in the “3V’s” of variety, volume, and speed. There’s more to it than ever before—often in real-time. This barrage of data is meaningless and useless unless it can be examined. However, the big data analytics model uses machine learning to examine text, statistics, and language to find previously unknown insights. All of the data sources can be mined for value and predictions.

A Brief History of Big Data Analytics

Source: towardsdatascience

The large amount of data created in the late 1990s and early 2000s was fueled by new data sources. The popularity of mobile devices and search engines created more data than any company knew what to do with. Speed ​​was another factor. The faster the data was made, the more it had to be handled. In 2005, Gartner explained that these are the “3 Vs.” of big data – variety, volume, and velocity. Recent research by IDC projected that data generation would grow tenfold worldwide by 2023.

Anyone who could tame the vast amount of raw, unstructured information would open up a treasure chest of never-before-seen consumer behavior, business operations, natural phenomena, and population change.

Traditional data warehouses and relational databases were not up to the task. Innovation was needed. In 2006, Hadoop was created by engineers from Yahoo and launched as an open-source Apache project. The distributed processing platform made it possible to run big data applications on a clustered platform. This is the main difference between traditional and big data analytics.

At first, big companies like Google and Facebook used big data analytics. In 2010, retailers, banks, manufacturers, and healthcare companies began to understand the value of being big data analytics companies as well.

Initially, large organizations with on-premises data systems were best suited to collect and analyze large data sets. But Amazon Web Services and other cloud platform vendors have made it easy for businesses to use big data analytics services. The ability to handle Hadoop clusters in the cloud has given any size company the freedom to spin up and run only what they need on demand.

The big data analytics ecosystem is a key component of the agility required for today’s companies to succeed. Insights can be discovered more quickly and efficiently, translating into instant trading decisions that can decide a winner.

Big Data Analytics Tools

NoSQL databases (not just SQL) or non-relational are mostly used for collecting and analyzing big data. The data in a NoSQL database is handled for the dynamic organization of unstructured data versus relational databases’ structured and tabular design.

Big data analysis requires a software framework for distributed storage and processing of big data. The following tools are considered software solutions for big data analytics:

Apache Kafka

• A scalable messaging system that allows users to publish and consume a large number of messages in real-time via subscription.

HBase

• A column-oriented key/value data store that runs on the Hadoop Distributed File System.

Hive

• An open source data warehouse Service for analyzing datasets in Hadoop files.

MapReduce

• A software framework for parallel processing of large amounts of unstructured data in a distributed cluster.

Pig

• It is an open-source technology by Apache Foundation for parallel programming of MapReduce tasks and jobs on Hadoop clusters.

Spark

• An open source and parallel processing framework for running large-scale data analytics applications across cluster systems.

YARN

• Cluster management technology in second-generation Hadoop.

Some of the most used big data analytics tools are:

Apache Hive/Hadoop

• Data preparation solutions for providing information to many analytical environments or data warehouses. Developed by Yahoo, Google, and Facebook.

Apache Spark

fast

• SQL engine developed by Facebook for ad-hoc analysis and rapid reporting.

Why is Big Data Analytics Important?

Big data analytics is important because it allows data scientists and statisticians to dig deeper into vast amounts of data to find new and meaningful insights. This is also important for industries from retail to government as they look for ways to improve customer service and streamline operations.

Big data analytics is essential because traditional data warehouses and relational databases cannot handle the flood of unstructured data that defines today’s world. Best suited for structured data. They also cannot handle real-time data requests. Big data analytics fulfils the growing demand for real-time understanding of unstructured data. This is especially important for companies that rely on rapidly changing financial markets and web or mobile activity volume.

Benefits of Big Data

By using big data analytics tools, businesses worldwide are improving their digital marketing strategies by leveraging data and reducing risk from social platforms. Insights from Big Data enable companies to improve their products and services based on customer concerns.

Big Data merge data from multiple sources to create useful information. Companies can save money and time by using analytics tools to sort out redundant and unwanted data.

Conclusion

Thanks to Big Data statistics, you can always be one step ahead of your competitors. To better serve your clients, you can use the promotions and offers provided by your competitors. It is also possible to learn about customer habits and trends using Big Data insights to provide them with a “personalized” experience.

Big data analytics is important because it allows data scientists and statisticians to dig deeper into vast amounts of data to find new and meaningful insights. This is also important for industries from retail to government as they look for ways to improve customer service and streamline operations.

By using big data analytics tools, businesses worldwide are improving their digital marketing strategies by leveraging data and reducing risk from social platforms. Insights from Big Data enable companies to improve their products and services based on customer concerns.

The big data analytics ecosystem is a key component of the agility required for today’s companies to succeed. Insights can be discovered more quickly and efficiently, translating into instant trading decisions that can decide a winner.

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.

Related

What Is The Full Form Of Ca

Introduction of CA

A Chartered Accountant (CA) is a professional who specializes in financial accounting, auditing, and taxation. They are experts in financial reporting and compliance, and are highly valued for their knowledge of accounting principles and regulations. Chartered Accountants are recognized internationally and have met rigorous education, experience, and examination requirements set by the professional body.

In order to become a Chartered Accountant, individuals must typically complete a combination of education and work experience, as well as pass a series of professional exams. This process can take several years to complete, but it is highly respected in the field of finance and accounting.

Mary Harris Smith Plaque in the City of London, UK

Description: Plaque in the City of London, marking where the office of Mary Harris Smith, once stood. Mary Harris Smith was the first female Chartered Accountant

Understanding the Chartered Accountants

One of the key responsibilities of Chartered Accountants is to provide assurance on the financial information that helps managers, investors, tax authorities, and other decision makers make resource allocation decisions. They are responsible for providing accurate and reliable financial information, and for ensuring that the information is presented in a clear and understandable way.

The institute of chartered accountants of india, shahdara

Description: Delhi, India – the institute of chartered accountants of india, shahdara

The process to become a CA in India

Education − To become a CA in India, an individual must have completed their 10+2 (or equivalent) education with a minimum of 55% marks in Commerce or Science stream with mathematics as a subject.

Foundation Course − After completing their 10+2 education, an individual must enroll for the Foundation Course of the Institute of Chartered Accountants of India (ICAI). The course includes subjects such as Business Mathematics and Statistics, Economics, Accounting, Mercantile Law and General English.

Common Proficiency Test (CPT) − After completing the Foundation Course, an individual can appear for the Common Proficiency Test (CPT), which is the first level of the CA certification process. The CPT exam covers subjects such as Fundamentals of Accounting, Mercantile Laws, and General Economics.

Intermediate Course − After passing the CPT, an individual can enroll for the Intermediate Course of the ICAI. The course includes subjects such as Financial Accounting, Auditing and Assurance, Cost Accounting and Financial Management, and Taxation.

Integrated Professional Competence Course (IPCC) − After completing the Intermediate Course, an individual can appear for the Integrated Professional Competence Course (IPCC) exam. The IPCC exam covers subjects such as Advanced Accounting, Auditing and Assurance, and Information Technology and Strategic Management.

Final Course − After passing the IPCC, an individual can enroll for the Final Course of the ICAI. The course includes subjects such as Advanced Auditing and Professional Ethics, Corporate and Allied Laws, and Advanced Management Accounting.

Final Examination − After completing the Final Course, an individual can appear for the Final Examination of the ICAI. The final examination includes two groups, each group covering subjects such as Advanced Auditing and Professional Ethics, Corporate and Allied Laws, and Advanced Management Accounting.

Practical Experience − After passing the Final Examination, an individual must complete a period of practical experience or articleship of 3 years. This practical training is mandatory to become a Chartered Accountant in India.

Accountant versus Chartered Accountant

An accountant is a professional who has knowledge of and experience in accounting, finance, and bookkeeping. They can work in a variety of roles, including public accounting, where they provide accounting, tax, and consulting services to individuals and businesses.

A Chartered Accountant (CA), on the other hand, is also a accountant with higher level of expertise and education, along with some experience in working in the field during their education.

Accountancy versus Accounting

Accountancy and accounting are related but distinct fields. Accountancy refers to the process of measuring, disclosing, or providing assurance about financial information that helps managers, investors, tax authorities, and other decision makers make resource allocation decisions. Accounting, on the other hand, is the process of recording, classifying, and summarizing financial transactions to provide information that is useful in making business decisions.

Conclusion

In this article, we have learned about CA, which is an abbreviation for Charted Accountant. They are known for their high level of knowledge and expertise in accounting, finance and other related subjects, and play an important role in providing assurance, auditing, and tax-related services to businesses and individuals.

FAQs

Q1. What is the difference between a Chartered Accountant and a Certified Public Accountant (CPA)?

Ans. A Chartered Accountant (CA) is a professional accountant who has met the education, examination, and experience requirements set by the professional body in a specific country, while a Certified Public Accountant (CPA) is a professional accountant who has met the education, examination, and experience requirements set by a specific state in the United States.

Q2. What are the qualifications needed to become a Chartered Accountant?

Ans. To become a Chartered Accountant, an individual typically needs to have completed their 10+2 (or equivalent) education with a minimum of 55% marks in Commerce or Science stream with mathematics as a subject. After that, they need to enroll for the Foundation Course of ICAI and pass the CPT. After that, the individual can enroll for the IPCC and the Final Course. After completing the course, the individual needs to pass the Final Examination and complete a period of practical experience or articleship of 3 years.

Q 3. What are the responsibilities of a Chartered Accountant?

What Is The Full Form Of Agp

Introduction

AGP or the Asom Gana Parishad party was mainly formed to implement the objectives of the Assam Movement. Since, it was born from this movement, multiple stakeholders of the movement including several political parties and members and leaders helped in its formation. This is also the very reason why this party experiences factionalism from its very birth. The party’s ideologies mostly aim to respect and safeguard the original people of Assam and their interests. In this article we will briefly discuss the history, organisation and ideology of the AGP.

History

Asom Gana Parishad was formed as an umbrella organisation to carry out a movement started together by All Assam Students’ Union and other organisations of social, political and cultural backgrounds to deport outsiders from Assam. This movement was born due to the fear of Assamese people of becoming a minority in their own state due to increased migration of people from Bangladesh and Nepal. The movement is known as the Assam Movement and this continued for six long years with the only aim of reducing foreigners in the land of Assam. It was during this movement that some of the leaders thought of creating the AGP so that they could contest the 1985 December election. So, with the aim of achieving the objectives of the Assam Movement the APG was born on 12th October 1985 after a political convention for three-days in Golaghat, Assam.

Since many political parties were part of the Assam movement, it should be noted that various leaders of various political parties came forward to build the AGP. Two such political parties namely ‘Asom Jatiyabadi Dal (AJD)’ and ‘Purbanchaliya Lok Parishad (PLP)’ became part of AGP. After the formation of the party a state committee of 38 members was formed and Prafulla Kumar Mahanta was made the President-in-chief of this body. This formation of the party became a success as it won the elections of December 1985 with 64 seats making Prafulla Kumar Mahanta, the Chief Minister of Assam. The formation of AGP also meant the end of dominance of the Congress party in the state.

Ideology

The preamble of the AGP declares the main objectives of the party which are mostly aligned with the Assam Movement. On the basis of their ultimate ambition to protect the integrity and identity of Assam, their ideology or objectives are as follows

The party aims to protect the sovereignty and unity of India and remain loyal to the Indian Constitution.

They wish to build a strong and powerful Assam where political equality, economic improvements and social justice would be ensured with due respect to federalism and the democratic features of India.

Develop economic self-sufficiency in Assam by developing and improving manpower, proper use of forest and water resources, generate employment opportunities and expand the industrial sector.

Developing tolerance among Assamese people towards other communities by encouraging them to trust people and prevent any kind of religious, cultural, racial misunderstanding.

To safeguard the regional interest of Assamese people or indigenous people of Assam and create a ‘classless society’ which would be free from exploitation.

Tradition of Assamese people: Bihu dance

Organisation

The organisational structure of the AGP is categorised into four tiers. These include the Central Committee, District Committee, Regional Committee and Branch Committee. The Central Committee consists of the President, Working President, General Secretary, Executive Secretary, Vice-President, General Secretary, Secretary, Finance Secretary, Information and publicity and the Office Secretary. This body is a state level body located in Assam and is one of the main bodies for policy making in the party. The committee is also known as the General Council or General House.

The District Committee is constituted at various levels and there are a total of 52 committees. These levels include the Municipal level, Sub-divisional level and Civil administrational level.

The Regional Committee is also known as the Anchalik Committees which are constituted at the Village Panchayat, town, municipal and ward level.

The Branch Committee is also called the Shakha located at the Gaon Panchayat and also at the town, ward, municipal level.

The AGP also organised additional committees known as the Booth Committee, Block Committee, Constituency Committee and Zonal Committee.

Conclusion

The AGP is one of the largest political parties in Assam. Due to its growth from the Assam Movement the party has faced enormous factionalism. Despite this, the party has adopted and built itself for the people of Assam and is recognised as a major regional party in India.

FAQs

Q1. What do you understand about the term ‘factionalism’?

Ans. Factionalism is a concept which means the split or separation of a group of people from an organisation due to differences among them. This split can occur into two more than two groups. Factionalism can be categorised as ‘unifactionalism’, ‘bifactionalism’ and ‘multi factionalism’.

Q2 Mention one ideology of the AGP.

Ans. One of the ideology of the AGP is to prevent discrimination while organising people for political motives. They wish to accommodate all people in politics irrespective of their caste, religion, creed or language, etc.

Q3 Write two positive impacts of factionalism.

Ans. Firstly, factionalism helps in bringing new members to a political party. Secondly, factions that occur due to ideological differences help in keeping the ideas and interests of the factional groups alive which in turn prevents the domination of some political ideas.

Top 10 Big Data Analytics Trends And Predictions To Watch For In 2023

Big Data Analytics is astonishingly transforming the industries and organization today. The technology has made a huge shift where businesses are adapting it to go beyond the traditional ways of analysis. The strength of data analytics is positively embraced by enterprises across the globe. It is making some remarkable changes in the decision-making landscape for branding and recruitment. Till now, we have seen big data analytics making a massive shift in how business is being done but it would be exciting to see what the technology holds for us in the coming year. Therefore, let’s have a look at top data analytics trends and predictions to watch for 2023.  

Data Analysis Automation

Recently the automation has turned out to be highly favoured technology almost across every industry to enhance business potentials. Not much to the surprise, we can expect 40 percent of database work to get automated by next year. Hopefully, automation will also assist business leaders to efficiently see further ahead to assist in propelling their organization with the appropriate analytics to drive decisions.  

IoT Merged with Data Analytics

 By the year 2023, we can expect to witness 20 billion active IoT devices which will subsequently collect more data for analysis. In big tech organization where IoT devices have already been embraced in big operations, the leaders are seeing beyond it to also implement the assisting technology to run capable data analytics. Therefore, we are likely to acknowledge more analytics solutions for IoT devices to provide relevant data along with transparency. Additionally, around 75 percent of companies might suffer while accomplishing matured benefits of IoT due to lack of data science professionals.  

In-Memory Computing 

In 2023, in-memory computing is likely to get highly influential since the reduction in the cost of memory resulted in turning IMC more mainstream. Being a mainstream technology, IMC can be a great solution for a varied range of benefits in the analysis. The latest persistent-memory technologies have led to a reduction in cost and complexity of IMC. Persistent-memory tech is a new memory tier well situated between NAND flash memory and dynamic access memory. As the wide scale implementation of IMC solution is manageable, several industries are adopting in-memory computing to help improve application performance while providing a great opportunity for future scalability.  

Data-As- A-Service

Expectedly, up to 90 percent of big organizations will be generating some kind of revenue from DaaS (Data-As-A-Service) in 2023. It is a cloud-based technology that enables customers to access digital files using the internet. With high accessibility, the globalization of this technology will also support bridging gaps between departments within the larger organizations who require sharing data but currently can’t do so. Sharing data in real-time will be quicker and easier through DaaS. It will also improve productivity within the organization.  

Augmented Analytics

Augmented analytics is about to become dominant in the coming years. The technology has shaken up the industry by merging AI and ML techniques to create fresh ways of creating, developing, sharing and consuming analytics. It is no at all surprising that

Smart Cities Development

IoT is creating new opportunities for data science and analytics. The development of Smart Cities has mandated the need for data collection as well as data processing and dissemination. Possibly, smart cities data will assist with medical nursing and proactive health care. It has been predicted that by 2023, 30 percent of the smart cities will have introduced robotics and smart machines at the medical facility. The technology can be leveraged to provide a good user experience to residents.  

Consumer Device Developments

The current trends with personal devices, mobile and web use showcase the possibility that by 2023 more than 50 percent of consumer mobile interactions will be experiences comprehended at contextualized and hyperpersonal that is determined by the user’s past and real-time mobile behavior. As mobile devices are being used in a variety of settings from at home to at work and many other places, and the development of all kinds of new products like IoT, wearables and immersive technologies like virtual reality.  

Enterprise Content Management

The disruptive technologies are gradually taking over the tasks of humans with 95 percent of image and video content which expected to be audited by machines by 2023. The ECM market is expected to hit $59.87 billion by 2023. Also, the 95 percent of content reviewed by machines is likely to never be viewed by humans rather the machines vetting content will provide detailed analyses in the capacity of supporting organizations’ digital initiatives. Subsequently, IT departments can leverage such analyses to enhance productivity and welcome new opportunities in mobile, social and cloud technologies.  

ML And Cloud

As cloud storage has already become quite a popular means of safely storing digital files, currently, 30 percent of cloud vendors are using third-party solutions in the form of infrastructure as a service (IaaS) in place of running their infrastructure. The process is predicted to rise to 60 percent in the next 3 years. Also, projections for 2023 state that the hyper-scale cloud providers including Microsoft, Apple and Google will be making use of cloud-based machine learning to gain a 20 percent share of the market in platforms for data science.  

Conversational Analytics and NLP 

The futuristic trends for 2023 say that up to 50 percent of analytical queries will be either automatically generated or generated using voice or NLP technology provided that analytics tools should be easy to use and access. This development will allow anyone in a company to analyze complex data combinations using a widely adopted and user-friendly analytics platform.

Big Data Analytics is astonishingly transforming the industries and organization today. The technology has made a huge shift where businesses are adapting it to go beyond the traditional ways of analysis. The strength of data analytics is positively embraced by enterprises across the globe. It is making some remarkable changes in the decision-making landscape for branding and recruitment. Till now, we have seen big data analytics making a massive shift in how business is being done but it would be exciting to see what the technology holds for us in the coming year. Therefore, let’s have a look at top data analytics trends and predictions to watch for 2023.Recently the automation has turned out to be highly favoured technology almost across every industry to enhance business potentials. Not much to the surprise, we can expect 40 percent of database work to get automated by next year. Hopefully, automation will also assist business leaders to efficiently see further ahead to assist in propelling their organization with the appropriate analytics to drive chúng tôi the year 2023, we can expect to witness 20 billion active IoT devices which will subsequently collect more data for analysis. In big tech organization where IoT devices have already been embraced in big operations, the leaders are seeing beyond it to also implement the assisting technology to run capable data analytics. Therefore, we are likely to acknowledge more analytics solutions for IoT devices to provide relevant data along with transparency. Additionally, around 75 percent of companies might suffer while accomplishing matured benefits of IoT due to lack of data science chúng tôi 2023, in-memory computing is likely to get highly influential since the reduction in the cost of memory resulted in turning IMC more mainstream. Being a mainstream technology, IMC can be a great solution for a varied range of benefits in the analysis. The latest persistent-memory technologies have led to a reduction in cost and complexity of IMC. Persistent-memory tech is a new memory tier well situated between NAND flash memory and dynamic access memory. As the wide scale implementation of IMC solution is manageable, several industries are adopting in-memory computing to help improve application performance while providing a great opportunity for future scalability.Expectedly, up to 90 percent of big organizations will be generating some kind of revenue from DaaS (Data-As-A-Service) in 2023. It is a cloud-based technology that enables customers to access digital files using the internet. With high accessibility, the globalization of this technology will also support bridging gaps between departments within the larger organizations who require sharing data but currently can’t do so. Sharing data in real-time will be quicker and easier through DaaS. It will also improve productivity within the organization.Augmented analytics is about to become dominant in the coming years. The technology has shaken up the industry by merging AI and ML techniques to create fresh ways of creating, developing, sharing and consuming analytics. It is no at all surprising that augmented analytics have already become the most popular technology to use for business analytics. The benefits of augmented analytics include– 1. ability to automate many analytics capabilities like preparation, analysis 2. building of models, as well as the insights generated, will be much easier with which to chúng tôi is creating new opportunities for data science and analytics. The development of Smart Cities has mandated the need for data collection as well as data processing and dissemination. Possibly, smart cities data will assist with medical nursing and proactive health care. It has been predicted that by 2023, 30 percent of the smart cities will have introduced robotics and smart machines at the medical facility. The technology can be leveraged to provide a good user experience to chúng tôi current trends with personal devices, mobile and web use showcase the possibility that by 2023 more than 50 percent of consumer mobile interactions will be experiences comprehended at contextualized and hyperpersonal that is determined by the user’s past and real-time mobile behavior. As mobile devices are being used in a variety of settings from at home to at work and many other places, and the development of all kinds of new products like IoT, wearables and immersive technologies like virtual chúng tôi disruptive technologies are gradually taking over the tasks of humans with 95 percent of image and video content which expected to be audited by machines by 2023. The ECM market is expected to hit $59.87 billion by 2023. Also, the 95 percent of content reviewed by machines is likely to never be viewed by humans rather the machines vetting content will provide detailed analyses in the capacity of supporting organizations’ digital initiatives. Subsequently, IT departments can leverage such analyses to enhance productivity and welcome new opportunities in mobile, social and cloud chúng tôi cloud storage has already become quite a popular means of safely storing digital files, currently, 30 percent of cloud vendors are using third-party solutions in the form of infrastructure as a service (IaaS) in place of running their infrastructure. The process is predicted to rise to 60 percent in the next 3 years. Also, projections for 2023 state that the hyper-scale cloud providers including Microsoft, Apple and Google will be making use of cloud-based machine learning to gain a 20 percent share of the market in platforms for data chúng tôi futuristic trends for 2023 say that up to 50 percent of analytical queries will be either automatically generated or generated using voice or NLP technology provided that analytics tools should be easy to use and access. This development will allow anyone in a company to analyze complex data combinations using a widely adopted and user-friendly analytics platform. Well, the predictions and futuristic trends for 2023 are leading the development of the Big Data Analytics world. Data and analytics platforms’ offerings are extremely influenced by such predictions and technology providers of these solutions will be leveraging changes based on the current forecasts.

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