Big data

Big data (66)

These 4 Issues May Cause Trouble for Your Big Data Efforts

Big data analytics has become a leading area of investment for many organizations that seek to take advantage of technology to improve their services. While this technology holds great promise in this age, it has some obstacles that one must overcome to realize full potential. However, before investing in big data analytics, you must investigate various data analytics issues, explore the potential causes, and find possible solutions to these problems. Here are four problems that may cause trouble for your big data efforts.


Struggling Students Rely on AI Chatbots Throughout Pandemic

What began as a tool to help students at California State University campuses stay on track – artificial intelligence (AI) chatbots quickly became a lifeline to many students isolated due to the pandemic. After hearing of a similar program at Georgia State University- Elizabeth Adams, Associate Vice President of Undergraduate Studies at Cal State Northbridge applied for a grant to help students at California State Universities excel at the school both on an academic and personal level. According to Adams the AI chatbots were created with freshmen and transfer students in mind as well as students who are the first in their families to go to college. “It's especially appealing to first-generation students because they don't always know what questions to ask or who to ask them to, and they don't like being embarrassed about it," Adams noted.


Making Use of Big Data is Top Priority

Last year was a tough year for any organization, regardless of the industry they operate in. Many things did not go as expected. The pandemic hit many businesses to an extent never witnessed before, with some of them even closing altogether due to the adverse effects of the pandemic. During the crisis, IT became a solution to many problems as people were forced to work from home. One thing that stood out in all this is big data and big data analytics. It is clear that with the right technology thatprovides actionable insights, people can work from home and still be as productive as working from the office. Here are some big data trends that will alter the tech landscape in 2021.


Israeli Study Shows Pfizer Vaccine is 94% Effective

A study out of Israel comparing two groups of 600,000 people found that symptomatic Covid-19 cases dropped a whopping 94 percent with two doses of the Pfizer vaccine. The study, conducted by Health maintenance organization (HMO) Clalit, Irsael’s largest health care provider also found that 92 percent of participants who received the Pfizer vaccine were less likely to become seriously ill with the virus.


Are You Adjusting Your Big Data Strategies for 2021?

 Unlike decades ago, big data is no longer just a buzzword. It has come off age and is now revolutionizing workplace and businesses. According to a report by Forester Research, almost 40% of organizations are implementing and expanding big data technology adoption. Regardless of its standing, a business that lacks a clear and holistic data strategy that dictates its long term strategies lacks a competitive edge and is likely to fall behind in the current business environment. Similarly, failure to adjust your big data strategies will lead to challenges.


Look for These Changes This Year

Unlike two decades ago, big data is no longer just a buzzword but a technology that promises to change many industries. The big data concept has become widespread due to its influence on other sectors and the AI industry's financial growth. As companies and businesses continue gaining strength each year by increasing their data analytics platforms, the industry is expected to be worth more than $100 billion by 2023. According to a survey, an average person is expected to generate more than 1.7 megabytes of data per second this year. Seeing the critical nature of big data in businesses' day-to-day operations makes it crucial to know the possible trends.


Are You Taking Responsibility for Your Big Data?

No business today can compete favorably without using data to make critical decisions. This explains the craze for big data, which has made big data and analytics one of the most talked-about topics today.  Companies are now more aware of the potential benefits of data. They are actively gathering it as much as they can and using it to identify what drives a customer and making decisions to this effect.


Recap: Brittany Kaiser, Whistle Blower of the Facebook-Cambridge Analytica Scandal interview on "No Lie with Bryan Tyler Cohen"

Brittany Kaiser, a data rights activist and co-founder of Own Your Data Foundation, a nonprofit that teaches people of all ages about data intelligence sat down with Bryan Tyler Cohen on his podcast, “No Lie" in late December 2020. Kaiser is best known for being the whistle blower who exposed her former company Cambridge Analytica’s abuse of data in world-wide elections such as Brexit and Donald Trump’s 2016 presidential election. Today, she fights for more technology-first legislation while also teaching people how to protect their data through her nonprofit.


Plan Success into Your Next Big Data Project

Big data is now one of the leading investments among businesses. For this reason, companies that have massive volumes of data within their reach such as Facebook and Amazon, among others are minting millions of dollars by leveraging on this golden resource. While the private sector seems to be ahead in big data projects, the public sector also has not been left too far behind. Government entities are now looking to leverage the available data to serve the citizens better. A recent report by IBM Center for The Business of Government noted that the government must plan their big data initiatives properly to achieve success. Here are some steps you should consider when planning your success in big data projects:


Get Ready for These Big Data Changes in 2021

As we bid adieu to 2020, corporates and big data leaders are looking for ways to get an edge over their competitors in big data projects. Since the inception of big data technologies, the trends in this industry have defined competition and adoption. Although 2020 has been a tough year for big data projects, just like any industry, 2021 is expected to be better. Here are some key big data trends for 2021:


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