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Examining Top Data Science Firms in the 2021 Forbes AI 50 – Solutions Review

The 2021 Forbes AI 50 recognizes the top artificial intelligence companies in the world. Our editors examine which data science firms warrant extra attention.

The 2021 Forbes AI 50 recognizes the best private artificial intelligence companies in the world. Ranging from a variety of industries including human resources, healthcare, transportation and data analytics, the annual listing makes mention of practitioners using AI in unique ways and generating real business impact. As part of the selection process for the list, Forbes data partner, Meritech Capital, received hundreds of submissions from the top AI startups.

In order to qualify for inclusion, companies needed to prove that technologies like machine learning, natural language processing and computer vision make up the core of their product. Once vetted, each AI company was ranked based on revenue gain, profitability, internal growth, customer statistics, and funding and valuations. Their scores were tabulated to produce the final ranks, which Forbes has arranged in ascending order of valuation.

The editors at Solutions Review have perused the 2021 Forbes AI 50, available here, and identified these top data science firms as warranting extra attention. Companies are listed in the order Forbes has them ranked.

Databricks offers a cloud and Apache Spark-based unified analytics platform that combines data engineering and data science functionality. The product leverages an array of open-source languages and includes proprietary features for operationalization, performance, and real-time enablement on Amazon Web Services. A Data Science Workspace enables users to explore data and build models collaboratively. It also provides one-click access to preconfigured ML environments for augmented machine learning with popular frameworks.

Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The companys flagship product features a team-based user interface for both data analysts and data scientists. Dataikus unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch. Users can then apply machine learning and data science techniques to build and deploy predictive data flows.

DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service.DataRobotincludesseveralindependent but fully integrated tools (PaxataData Preparation,Automated Machine Learning, Automated Time Series,MLOps, and AI applications), and each can be deployed in multiple ways to match business needs and IT requirements.

Domino Data Lab offers an enterprise data science platform that allows data scientists to build and run predictive models. The product helps organizations with the development and delivery of these models via infrastructure automation and collaboration. Domino provides users access to a data science Workbench that provides open source and commercial tools for batch experiments, as well as Model Delivery so they can publish APIs and web apps or schedule reports.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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Data Scientists are Crucial to Business Growth and Innovation – CXOToday.com

While data science is not a new term, and was growing in importance in the last several decades, it has gained currency more recently as enterprises have now become awash in a sea of data both small data sets as well as the big data generated by mass-scale applications. The global pandemic further proved the importance of managing data and extracting insights from the large volume of data generated daily to drive business decisions. Despite the collapse in the job market brought about by the pandemic, the demand for data scientists globally as well as in India continues to remain high.

In a recent interaction with CXOToday, Satish Pala, SVP of Digital Solutions at Indium Software, explains why data scientists are crucial to business growth and innovation. He also sheds light on the impact of the COVID pandemic on the Data Science job market, current skill shortage in Data Science and the way forward to reduce the skills gap.

Why do you think the role of data scientists is becoming more relevant than ever today?

Due to digital adoption over the last 5 years by enterprises, we have large volumes of data being generated and processed. In addition, user-generated data through social media and mobile apps has increased exponentially. With such data sets being available, we can derive actionable insights and predictions for almost any business, from content/product recommendation to automated self-driving cars to personal assistants, etc.

While data growth is exponential, the recent developments in advanced analytics have increased the potential to generate unimaginable insights by data scientists. Some of these technologies include Google powered TensorFlow, OpenCV, Fast text by Facebook and BERT based models by Hugging Face which powers document classification and translation. Along with the software capabilities, the hardware availability like GPUs and on-demand cloud services have made solving AI & Data Science problems easy, efficient, and quick. As a result, companies are in desperate need of data scientists, to be one step ahead of the competition.

How important is the Indian market for data scientists in terms of education, hiring?

India is among the top 5 data analytics markets in the world in terms of data generation, consumption, and services. This sector is expected to be around $15 billion by 2025. Specialized courses in Statistics and Mathematics are available in India, which are the foundations to become a data scientist. Universities also offer bachelors and masters degrees in data science covering the foundations and programming in R, Python, and other languages.

India provides a good number of data scientists when compared to other countries, only next to the US, however, there is a lack of data scientists in general. There were close to 90,000 unfilled data science job opportunities in India in 2020. As a result, India Inc. is trying to build data science capability from within as well as partner with learning institutes. Some of the top IT cities that create the maximum number of jobs include Bengaluru at around 25% and Delhi and Mumbai at around 20% respectively.

What was the impact of the COVID pandemic on the Data Science job market?

COVID-19 pandemic has completely shaken and disrupted businesses across the globe. Most of the businesses that have traditionally been run from a local and on-premise data center set up have been forced to move their businesses to the cloud to scale rapidly. Also, there is an increase in digitalization like e-commerce portals and mobile apps. As a result, we have a lot of data being generated, stored, and accessed. Once any business has these data sets, there is a huge potential to leverage these data sets and generate actionable insights for their business. Hence, there are many opportunities for data scientists. The Data Science job market is pretty hot and has actually spiked a lot in the last year.

What are the current challenges faced by Data scientists?

First of all, there are no clear set of expectations from a data scientist as the realm is vast. For example, Data scientists could vary from basic python developers to statisticians to advanced mathematicians. For example, a data scientist could be a Python developer who works with data (with SQL/Spark) or Statistical analysis or Machine Learning or Deep Learning or Computer Vision (OpenCV) or Data Analytics or Data Visualization.

Secondly, theres a lack of clarity on where to start. With the wide set of Data Science skills, its quite difficult for aspiring or even experienced ones aspiring to be data scientists to choose one or more skills to work and stick with.

Finally, I would say, experienced Data scientists are still limited in number when compared to traditional computer engineers. So, the Data Science communities and forums may not offer the same support and content for data scientists to refer to.

Do you see a solution to the current skill shortage in Data Science? How can industry-academia partnership help?

Yes. These days, there are a lot of online courses as well as university programs that are already teaching Data Science not only as a course but also as a special graduate program. Industry-Academia partnerships will help speed up. Some of the Industry players are partnering with universities to design courses, case studies and projects.

How can governments encourage more students to Data Science?

Governments can encourage more students to Data Science in three ways:

1)Demonstrate AI, ML and Data Science based outcomesin government initiatives like Digital India, UPI, etc.

2) Create Job opportunities in Data Scienceeither for the Government or facilitate through private players.

3)Focused Learning Many jobs are going to get automated in the future because of AI, so the government can take measures in upskilling people with mundane jobs through National Skill Development Centres and conducting short terms courses.

How can data scientists upskill themselves in times of pandemic?

Data scientists are crucial to business growth and innovation and need constant upskilling especially in the current data landscape. Data Scientists can register in online tech learning platforms which have a lot of real-time and video recorded courses related to Data Science. Data Scientists require a lot of practice to apply theoretical knowledge on algorithms and programming. One way to achieve this is by solving problems in online Data Science competitive platforms. They provide data sets as well. Another way is to look out for Data Science hackathons to solve problems.

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Vicinity’s Data Science and Insights team crunches the numbers for Mother’s Day Shopping Centre News – Belinda Daly

Newly released shopping visitation and sales trend data may go some way to answering one of the more difficult questions: Whos the favourite parent? Data, collated by Vicinitys Data Science and Insights team, suggests mums come out on top.

The Data Science and Insights team behind industry innovations including centre heat-mapping and live traffic displays, has compiled visitation and sales data from across Australia, uncovering the number of customers shopping in the days leading up to Mothers Day. It turns out its significantly higher than in the run-up to Fathers Day. In fact, with the exception of Christmas and Black Friday, Mothers Day is the busiest shopping period of the year.

Overall sales figures from Chadstonealso highlight that the lead up to Mothers Day is the strongest sales period outside December, suggesting Aussies are far more likely to get mum a special something than they are for dad.

While the data is great news for mums this Mothers Day, its also great news for our centres and retailers as they prepare a range of exciting deals to make 2021 Mothers Day extra special, said Vicinity Chief Innovation and Information Officer, Justin Mills.

Our data is also showing continued recovery from COVID-19, with a return of customers to centres 82% visitation when compared to the same period in 2019 and an increase in spending of 23%.

Chadstone Centre Manager, Michael Whitehead, acknowledged the significance of celebrating and showing gratitude to mothersthis year after a challenging 2020.

We know how important it is to create unique family memories this year after the difficulties and restrictions we faced on MothersDay 2020. At Chadstone, were helping everyone to honour their mum with something special, a shared meal, or family outing thatsays thanks for their unconditional love, Whitehead said.

The smell of fresh floral blooms will fill the shopping centre in the lead-up to mums special day on Sunday 9 May. Guests can flowthrough an arched entry where a large mirror stands in front of a floral bed, to capture a memorable photo with Mum and post onyour Instagram #MumsTheWord.

The floral feature, located near Myer from 29 April will double as an in-centre prize experiencewhere every Chadstone mum will have an opportunity to take home something special. For the lucky visitors, a special surprisegiveaway is up for grabs at the in-centre experience.

Chadstone Ambassador and mum-of-four, Bec Judd, will be browsing the boutiques ahead of Mothers Day and has shared someher favourite items.

As a busy mum, I really appreciate the special moments where we slow down and spend quality time as a family. This MothersDay, Ill be purchasing a gorgeous set of mugs from Marimekko for my mum, so we can sit down and have a cup of tea together.Sitting at the top of my wish list is the Coco Republic Marseille Candle; I hope that the flicker of candlelight and fragrance can helpcreate a calmer ambience in my crazy household! Judd said.

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Neuroelectrics Raises $17.5M to Advance Clinical Trials for the Treatment of Epilepsy and Major Depressive Disorder with a New Platform for Treating…

Therapeutic platform for brain disorders uses targeted multi-channel neuromodulation to deliver personalized treatment protocols to patients anywhere.

CAMBRIDGE, Mass. & BARCELONA, Spain--(BUSINESS WIRE)-- Neuroelectrics, a pioneer in brain stimulation technologies and therapies, has raised $17.5M in a Series A financing led by Morningside Ventures. The funds will be used to further develop Neuroelectrics non-invasive transcranial electrical stimulation (tES) therapeutic platform and to advance clinical trials in refractory focal epilepsy and at-home treatment of refractory depression.

Neuroelectrics is developing a platform that builds upon the brains natural electrical properties to both understand and treat neurological dysfunction. Our goal is to offer a safe, non-invasive option that benefits those for whom effective treatments are unavailable, said Ana Maiques, co-founder and CEO of Neuroelectrics. Our investors share this vision, and we are grateful for their confidence and partnership.

Our mandate is to translate science into products that will change the way people live - paradigm-shifting innovation at the convergence of physical and life sciences, said Stephen Bruso of Morningside Ventures. By approaching disorders of the central nervous system using the natural signaling of the brain rather than focusing on one target and one receptor, we believe the Neuroelectrics approach could succeed in indications where traditional pharmaceuticals have had limited or no impact.

Neuroelectrics Starstim platform uniquely integrates three key components:

This proprietary platform technology has been utilized in hundreds of clinical studies by leading neuroscience research institutions worldwide.

Neuroelectrics leverages advances in neuroscience and cutting-edge data science to understand and treat the brain. The Starstim platform is powered by more than a decade of continuously improving algorithms from which comprehensive, personalized brain models and treatment plans can be derived.

Our approach is science-based and computational, bringing together the data-driven physical science of the brain with established neuroscience principles and research. We believe many brain disorders can be addressed computationally with model-driven neuromodulation to the benefit of those with brain dysfunction, said Giulio Ruffini, PhD, co-founder and Chief Scientific Officer at Neuroelectrics.

Treatment of Refractory Focal Epilepsy The Epilepsy Foundation estimates that there are approximately 2.2M people in the US that have epilepsy. One-third of them do not respond adequately to medications and must live with seizures.

Seeking to address this unmet medical need, Neuroelectrics recently completed a pilot study (NCT02866240) of its Starstim tES system in twenty adult and pediatric patients with medically-refractory focal epilepsy. These patients experienced a 44% median reduction in seizure frequency in the eight-week post-treatment follow-up period relative to baseline, with four patients experiencing a 75% reduction in seizure frequency.

Co-Principal Investigator Alexander Rotenberg, MD, PhD, Professor of Neurology at Boston Childrens Hospital and Harvard Medical School, said: We and our patients look forward to a non-invasive and non-pharmacologic option for those whose seizures have not been controlled by drugs or surgery. Our patients and families should expect to see clear seizure reduction along with improvements in well-being and quality of life.

Neuroelectrics expects to commence a pivotal study (NCT04770337) evaluating the safety and efficacy of Starstim tES in patients with medically-refractory focal epilepsy in the third quarter utilizing a trial design similar to the pilot study.

At-Home Treatment of Major Depressive Disorder (MDD) The National Institutes of Health (NIH) estimates that approximately 17.3M adults in the US have had at least one major depressive episode in the past year, with the majority of those qualifying for a diagnosis of Major Depressive Disorder (MDD). Unfortunately, approximately one-third of these individuals will not respond adequately to medication.

In February, Neuroelectrics initiated a pilot study (NCT04799405) led by principal investigator Alvaro Pascual-Leone, MD, PhD, Professor of Neurology, Harvard Medical School and Senior Scientist at the Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, to treat patients with medically-refractory Major Depressive Disorder (MDD) at home. This study was motivated in part by a concern for patients who are candidates for other forms of neuromodulation therapy, including transcranial magnetic stimulation (TMS), but who might require an at-home alternative during the pandemic.

About Neuroelectrics Neuroelectrics is developing a therapeutic platform that uses neuromodulation for the treatment of a range of neurological and psychiatric disorders. The platform combines safe and proven neuromodulation capabilities with remote-controlled delivery and personalized treatment protocols to restore and maintain brain health. Based in Cambridge, Massachusetts and Barcelona, Neuroelectrics has an expanding pipeline of computationally driven solutions for neurologic and psychiatric disease. Visit http://www.neuroelectrics.com.

About Morningside Morningside Group was founded in 1986, by the Chan family of Hong Kong, to make private equity and venture capital investments. The group is managed by investment professionals who are entrepreneurial, have deep industry knowledge and are effective in the local environment in which they operate. In addition to its investment activities, Morningside Group is strongly committed to social responsibility. To learn more, visit http://www.morningside.com.

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What will be the growth scenario of Data Science Platform Market? by 2020-2026? SoccerNurds – SoccerNurds

Data science platform marketis estimated to rise with a CAGR of 31.1% by generating a revenue of $224.3 billion by 2026. Asia-Pacific holds the highest growth rate, expecting to reach $80.3 billion during the forecast period.

Data science is the preparation, extraction, visualization, and maintenance of information. Data science uses scientific methods and processes to draw the outcomes from the data. With the help of data science tools and practices one can recognize the data patterns. The person dealing with data science tools and practices uses meaningful insights from the data to assist the companies to take the necessary decision. Basically, data science helps the system to function smarter and can take autonomous decisions based on historical data.

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Many companies have a large set of data that are not being utilized. Data science is majorly used as a method to find specific information from a large set of unstructured and structured data. Concisely, data science is a vast and new field which helps to build, asses and control the data by the user. These analytical tools help in assessing business strategies and taking decisions. The rising use of data analytics tools in data science is considered to be major driving factor for the data science platform market.

Data science is mostly used to find hidden information from the data so that business decisions and strategies can be conceived. If the data prediction goes wrong, business has to face a lot of consequences. Therefore, professional expertise are required to handle the data carefully. But as the data science platform is new, the availability of the workforce with relevant experience is considered to be the biggest threat to the market.

Service type is predicted to have the maximum growth rate in the estimated period. Service segment is projected to grow at a CAGR of 32.0% by generating a revenue of $76.0 billion by 2026. Increasing difficulties in terms of operational work in many companies and rising use of Business Intelligence (BI) tools are predicted to be major drivers for the service type segment.

Manufacturing is predicted to have the highest growth rate in the forecast period. Data scientists have acquired a key position in the manufacturing industries. Data science is being broadly used for increasing production, reducing the cost of production and boosting profit in manufacturing area. Data science has also helped the companies to predict potential problems, monitor the work and analyze the flow of work in the manufacturing work area. Manufacturing segment is expected to grow at a CAGR of 31.9% and is predicted to generate a revenue of $43.28 billion by 2026.

North Americas has the largest market size in 2018. North America market is predicted to grow at a CAGR of 30.1% by generating a revenue of $80.3 billion by 2026. The presence of large number of multinational companies and rising use of data with the help of analytical tools in these companies gives a boost to the market in this region. Asia-Pacific region is predicted to grow at a CAGR of 31.9% by generating a revenue of $48.0 billion by 2026. Asia-Pacific is accounted to have the highest growth due to increasing investments by companies and the increased use of artificial intelligence, cloud, and machine learning.

The major key players in the market are Microsoft Corporation, Altair Engineering, Inc., IBM Corporation, Anaconda, Inc., Cloudera, Inc., Civis Analytics, Dataiku, Domino Data Lab, Inc., Alphabet Inc. (Google), and Databricks among others.

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MG looks to crowd funding to finance sports car – Automotive News

MG, the famed English brand owned by Chinese automaker SAIC Motor Corp., hopes to develop a sports car with capital raised through a crowd-funding program.

MG announced on its Chinese website prior to the Shanghai auto show that it will move forward with the vehicle if it can raise 50 million yuan ($7.7 million) from April 19 to July 31.

Participants in the program are advised to contribute 10,000 yuan.

The sports car, which was displayed at the show, is a battery-electric convertible known as the MG Cyberster.

The car, fitted with a powertrain that offers a maximum output of 330 kW, can reach a speed of 100 kilometers per hour in three seconds and can drive for up to 800 km on one charge.

If MG fails to secure funding, the money will be refunded to participants.

Nanjing Auto, a state-owned Chinese automaker, bought the MG brand from bankrupt U.K. automaker MG Rover in 2005. Two years later, Nanjing Auto was acquired by state-owned SAIC.

SAIC builds vehicles for the MG brand in China, Thailand and India.

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Crowd Funding Market 2021-2024: Global Market Report With Manufacturers, Regions, Trends, Challenges, Market Size, And Forecast 360 Market Updates |…

Market Overview

A new research report titled, Crowd Funding Market has been added into the vast repository of research reports by Ordient Market Research. The research report covers a detailed analysis of the overview of the market, overall size, share, product definition, supply chain analysis, supply chain ratio, upstream raw materials and equipment, downstream demand analysis, and import/export details. The report further analyses the different approaches, procedures, strategies, and methodologies adopted by the leading competitors operating in the market to make strategic key business decisions. Apart from the above-mentioned key findings, the report also states the growth rate of the global market, as well as the facts, figures, consumption tables, and statistics of the leading segments. Additionally, the Global Crowd Funding Market research report provides an in-depth study of the current scenario of the market, along with the current and future industry trends, in order to identify the investment analysis.

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The Global Crowd Funding Market Report provides detailed information to clients who strengthen their core leadership capabilities identified in the global Crowd Funding market business. Using the diagrams, graphs, and flowcharts in the report, experts expressed the analyzed information in an acceptable and excellent way. The Crowd Funding Market Report provides a basic overview of the Crowd Funding industry, including definitions, classifications, and applications. In addition, the industry chain structure, Crowd Funding, provides development policies, planning, manufacturing processes, and cost structures. The Crowd Funding report provides information on regions, types, key drivers, trends, challenges, applications, annual growth rates, forecasts, and market size (quantity and value), and market segment by region.

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Market Scope

The report then delivers an in-depth analysis of the market by value, by production capacity, by companies, by applications, by segments, by region, etc. The competitive landscape view in industry, mergers & acquisitions, research, new technologies & upcoming companies is mentioned in the report. A review of market segments, as well as sub-segments, are also highlighted in this report to offer manufacturer suggestions on the growth potential of each of the segments. Current developments in the global Crowd Funding market are also highlighted in the report.

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Segmentation Analysis

The report has classified the global Crowd Funding industry into segments including product type and application. Every segment is evaluated based on growth rate and share. Besides, the analysts have studied the potential regions that may prove rewarding for the Crowd Funding manufacturers in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall Crowd Funding industry.

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Regions covered in the Crowd Funding market report are:

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Hybrid Work Will Change Everything, and Many Companies Aren’t Ready – Business Insider

It turns out, sending workers home to work may have been the easy part.

"Coming back scares the heck out of me," Tim Nall says. As the chief information officer of Brown-Forman, the 151-year-old alcohol and beverage brand that makes Jack Daniels, Nall must keep an eye on the productivity and security of 5,000 workers.

"We're going to have people in the office, people in their homes, people in different offices," Nall says. "It's definitely going to be a challenge."

More than 140 million Americans have received at least one vaccine dose roughly half of US adults and some companies are eager to return to offices as the threat of COVID-19 wanes. Google is pushing for a return to offices, capping employees' work-from-home to 14 days per year, while JP Morgan Chase CEO Jamie Dimon predicts that no more than 10% of his employees will work from home permanently.

But early data suggests that most offices won't be filled to full capacity anytime soon. In 2020 we went from working in the office to all working remotely. In 2021, we'll be both, and every employee will have their own path, Sanjay Beri, the CEO of the $3 billion cloud security startup Netskope, told Insider. "Every company has become more geographically dispersed. People are everywhere."

A recent PwC survey of US executives found that only 20% of employers want workers back in the office five days a week, even as companies like Atlassian give their employees unprecedented flexibility to work wherever they want on a permanent basis. In a separate survey of offices based in New York City, the average employer said they expect 56% of workers to return to offices on a regular basis while the rest work remotely.

Even as workers trickle back into offices, employers are signalling that they'll grant workers flexibility to come and go from offices as they please to keep capacity low in the wake of the pandemic.But all of that flexibility, and all of that uncertainty, introduces new kinds of challenge for IT departments everywhere.

Because while the move to remote work certainly wasn't a walk in the park, it was manageable: You knew, more or less, where every employee was located and how they were connecting to the network. With employees more freely splitting their time between the home, the office, and perhaps even the open road as a digital nomad, the situation gets much more complex. That complexity creates opportunities for the bad guys to exploit, the experts warn.

John Davis of Palo Alto Networks, a vice president in the area of public sector enterprises like government agencies, told Insider that "What we see most is hybrid it's part on-prem, part remote. And when it's cloud-based, it's multi-cloud. So security is an enormous problem."

The hybrid workforce is inevitable, says George Kurtz, the CEO of the $47 billion cloud security company CrowdStrike, which has seen its stock price triple over the past 12 months as it picks up new business protecting remote workers' laptops.

"People really want to get back out, and socialize at work, connect with each other. The social impact is important here," Kurtz told Insider. The CEO has calls with 25-30 companies a month, he said, and he is hearing that the drawbacks of working from home are mounting. "I think there's a negative to working from home, and that is it's meeting to meeting to meeting. There's no natural breaks in there. Dogs are barking, kids are screaming."

Still, Davis of Palo Alto Networks warns that a hybrid, multi-cloud workforce "opens up the attack surface, and once you're attacked, you're playing catch-up."

IT departments keep an eye on companies' computer programs, data, and employees. In the old days, that was all in one place: on the company's network in the office. Now the computer programs are on different servers some on the companies' own on-premises servers, and some in the public cloud, stored on remote servers run by Amazon, Microsoft, Google, and others.

The data may be in all those different servers, but also being processed in cloud software run by the likes of Salesforce, Snowflake, Databricks, and others. And employees may access the programs and data from their laptops and mobile devices using third-party apps on the companies' WiFi networks, their own home WiFi networks, and other WiFi networks when they commute or work elsewhere.

Things often break where they connect, and every one of those connections an employee connecting to an app, an app connecting to WiFi, WiFi connecting to data is a place where criminals use increasingly sophisticated tools to break into a companies' system and steal data like the account numbers of bank accounts, or credit card numbers. Or the criminals may lock up the whole operation by encrypting everything with a secret code and demanding a ransom be paid before it is released, playing into the ransomware crisis sweeping the globe.

In other words, in a hybrid workforce, every employee represents multiple targets for criminals and IT teams won't know who is where, and when.

This dynamic creates an urgency for every IT department. CrowdStrike's Kurtz says "companies are getting in motion. Some are already there. Some haven't started."

The ability to get in motion and adapt to a hybrid workforce depends on how much companies embraced digital transformation cloud computing, AI, automation, and cloud-based cybersecurity under the so-called "zero trust" model, which can better sift out those who should be accessing the data from those who, well, shouldn't.

"Some companies made the switch. You know, they invested in more systems and upgrades. Then there are others who didn't. There are going to be haves and have-nots," Kurtz said.

Agility and resilience will determine winners and losers, says Larry Link, CEO of Cequence Security, a 55-person startup in Silicon Valley. Link, a former Palo Alto Networks executive, helps to protect big companies' public-facing websites from getting hacked. He has big customers eager to work with a startup with new cloud-based, security approaches. "They know they need much more flexibility and much more agility as they are trying to figure out the changes. You don't know exactly how the workforce is going to evolve over these next two years."

It would be simple to say every company should have invested heavily in cloud-based security when COVID-19 hit. But a year ago, the world didn't know that the remote workforce just getting settled in at home was going to be more productive in many cases than it was in the office, not less or that employee burnout would be such an issue.

And companies didn't know that cloud computing was going to fare much better than on-premises networks. For while two of the largest cyberattacks in history rattled the world during quarantine the SolarWinds supply chain hack and Microsoft Exchange Server attacks they were primarily centered in the servers of empty offices, not in their cloud computer assets.

And yet, some did foresee the challenge of hybrid work.In May of 2020,Bret Arsenault, Microsoft's chief information security officer, warned that bringing people back into offices would be a gradual process. Now, Arsenault thinks of that process as "the next great disruption that is hybrid work," requiring cloud-based security tools that work "wherever your employees choose to work and connect from."

The past 12 months "fundamentally shifted the way many people think about security," which is now a matter of "protecting workers wherever they're doing their jobs," Okta CEO Todd McKinnon told Insider.

Investments in cloud-based "zero trust" cybersecurity are paying off for companies now, but protecting a hybrid workforce requires more than just buying equipment. It requires retraining employees who have just been through a year like no other. Beri, the Netskope CEO, says that the human aspect of digital transformation is important for companies to grasp.

"Your people have to be transformed," Beri told Insider. "They now have to learn not the way they used to work, and maybe not the way they want to work at first. And there are some who look at it the wrong way. They fear a power shift, a loss of power because they are losing territory. But the people and companies who have already gone down this course, adopting new tools, are more ready."

And the prepared firms aren't necessarily smaller, younger companies. "Jack is over 150 years old, and Brown-Forman is 151 years old, so a lot of people think that we're just this old, established company," says Nall, the CIO at the beverage and liquor company. That hasn't stopped the company from aggressively modernizing its IT strategy, he says: "We've been in the cloud since 2010."

Nall believes that prepares his company well for the many difficult changes that are coming. Over the past year his company has cranked out more work than ever, rebounded well from a ransomware attack, and begun the process of coming back to the office. Nall says his company is better prepared "because of the investments that we made pre-pandemic" in cloud-based security products like Okta's multi-factor authentication products.

His people have grown more comfortable with change like adopting new cloud-based security tools, Nall says. That familiarity and open-mindedness is crucial for managing the change, he believes. After a year in lockdown, workers are venturing into a new hybrid workplace that will be filled with challenges.

"We used to worry a lot more about how our employees were going to accept changes," Nall says. "I don't worry about that anymore."

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Hybrid Work Will Change Everything, and Many Companies Aren't Ready - Business Insider

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Data Center Server Market is Projected to witness Strong Growth during the Forecast Period KSU | The Sentinel Newspaper – KSU | The Sentinel…

According to the latest report by IMARC Group, titled Data Center Server Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026, the global data center server market reached a value of US$ 45.8 Billion in 2020. Data center servers refer to the physical or virtual devices that are used to collect, store, process, organize and distribute large amounts of important data. These servers are used to transfer data over different computers and are referred to as the backbones of data centers a centralized location where these servers are usually housed. The servers are widely utilized across various industries and sectors such as banking, healthcare, financial institutions, IT and telecommunication, government and retail.

Request for a sample copy of this research report:https://www.imarcgroup.com/data-center-server-market/requestsample

Market Trends:

Data center servers aid in the swift transfer of huge data sets and subsequent generation of reliable information. Consequently, numerous commercial and industrial enterprises are employing these servers to streamline their operations, thus contributing to the market growth. Moreover, users are increasingly inclined toward public and private cloud-based solutions, such as Google Drive, Amazons Cloud Drive, and Apples iCloud, owing to the convenience and security offered by these services. Furthermore, the rising adoption rate of the Internet of Things (IoT) in diverse industries has led to escalating demand for data centers for analysis and storage at several locations. Another emerging trend in the market is the introduction of energy- and cost-effective micro-servers which are preferred by small- and medium-sized organization for tasks requiring relatively lower computing power. Owing to the aforementioned factors, Looking forward, IMARC Group expects the global data center server market to exhibit moderate growth during the next five years

Browse full report with detailed TOC and list of figures and tables:https://www.imarcgroup.com/data-center-server-market

Market Summary:

About Us

IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.

IMARCs information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the companys expertise.

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IBM builds containerised version of Spectrum Scale Blocks and Files – Blocks and Files

IBM is launching a containerised derivative of its Spectrum Scale parallel file system called Spectrum Fusion, as well as delivering new ESS 3200 Elastic Storage System storage array and a capacity enhancement for the ESS 5000.

The rationale is that customers need to store and analyse more data at edge sites, while operating in a hybrid and multi-cloud world that requires data availability across all these locations. The ESS arrays provide Edge storage capacity and a containerised Spectrum Fusion can run in any of the locations mentioned.

Denis Kennelly, IBM Storage Systems general manager, said in a statement: Its clear that to build, deploy and manage applications requires advanced capabilities that help provide rapid availability to data across the entire enterprise from the edge to the data centre to the cloud. Its not as easy as it sounds, but it starts with building a foundational data layer, a containerised information architecture and the right storage infrastructure.

Spectrum Fusion combines Spectrum Scale functionality with unspecified IBM data protection software. It will appear first in a hyperconverged infrastructure (HCI) system that integrates compute, storage and networking. This will be equipped with Red Hat Open Shift to support virtual machine and containerised workloads for cloud, edge and containerised data centres.

Spectrum Fusion will integrate with Red Hat Advanced Cluster Manager (ACM) for managing multiple Red Hat OpenShift clusters, and it will support tiering. We dont yet know how many tiers and what types of tiers will be supported.

Spectrum Fusion provides customers with a streamlined way to discover data from across the enterprise, IBM said. This may mean it has a global index of the data it stores.

IBM also said organisations will manage a single copy of data only i.e. there is no need to create duplicate data when moving application workloads across the enterprise. The company does not mention data movement in its launch press release.

Spectrum Fusion will integrate with IBMs Cloud Satellite, a managed distribution cloud that deploys and runs apps across the on-premises, edge and cloud environments.

We asked IBM some questions about Spectrum Fusion:

Blocks & Files: What is the data protection component in Spectrum Fusion?

IBM: For data protection, Spectrum Fusion primarily will leverage a combination of the technology within Spectrum Protect Plus and the storage platform layer based on Spectrum Scale.

Blocks & Files: How many storage tiers are supported?

IBM: Spectrum Fusion will support 1,000 tiers that can span across an enterprise and cloud including Flash, HDDs, Cloud(S3) and tape.

Blocks & Files: Spectrum Fusion is being designed to provide customers with a streamlined way to discover data from across the enterprise. Does that mean it has some kind of global data index?IBM: Spectrum Fusion implements a global file system with a single name space so it does have global awareness of file names and locations. We will support 8YB (yottabytes) of global data access and namespace that can span across the enterprise and cloud. The technology is based on existing IBM advanced file management (AFM) technology currently available in Spectrum Scale. Existing NFS or S3 data from other vendors can be integrated into this global data access allowing existing data sources to integrate into Spectrum Fusion environments.

Blocks & Files: Organisations will be able to manage only a single copy of data and no longer be required to create duplicate data when moving application workloads across the enterprise. How will they access the data from a remote site? Will the data be moved to their site?

IBM: Yes when accessed for optimal performance. For remote access, Spectrum Fusion will automatically move/cache only the data needed to a remote site. With local caching in the remote site, the system can deliver high performance but without the expense and security concern of duplicating large volumes of data. The applications will see the data as a local file but the data is physically located on a remote system (Spectrum Scale, remote NFS FS, or an S3 data bucket).

IBMs ESS systems are clustered storage servers/arrays with Spectrum Scale pre-installed. The ESS 3000 is a 2U-24-slot box fitted with NVMe flash drives and up to 260TB usable capacity. It is a low-latency analysis node.

The high-end ESS 5000 capacity node has two POWER9 servers, each 2U high and running Spectrum Scale, and uses 10TB, 14TB or 16B disk drives in either 5U92 standard depth storage enclosures or 4U106 deep depth enclosures. It scales up to 13.5PB with eight of the 4U106 enclosures.

The new ESS 3200 comes in a 2U box filed with NVMe drives and outputs 80GB/sec; a 100 per cent read performance boost over the ESS 3000. It supports up to 8 InfiniBand HDR-200 or Ethernet-100 ports and can provide up to 367TB of storage capacity per node.

The ESS 5000 has been updated with a capacity increase and now scales up to 15.2PB.

All ESS systems are now equipped with streamlined containerised deployment capabilities, automated with the latest version of Red Hat Ansible. Both the ESS 3200 and ESS 5000 feature containerised system software and support for Red Hat OpenShift and Kubernetes Container Storage Interface (CSI), CSI snapshots and clones, Windows, Linux and bare metal environments.

The 3200 and 5000 work with IBM Cloud Pak for Data, a containerised platform of integrated data and AI services, for integration with IBM Watson Knowledge Catalog (WKC) and Db2. They are also integrated with IBM Cloud Satellite.

Spectrum Fusion in HCI form will become available in the second half of the year and in software-only form in early 2022.

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