BLOGS

Data Science

SKILL SETS REQUIRED TO BE A DATA SCIENTIST

Skill Sets Required To Be a Data ScientistData scientists are big analyzers of data. Their works revolve around gathering and analyzing large sets of structured and unstructured data with the help of computer science, statistics, and mathematics. As defined by Josh Wills "A data scientist is someone who is better at statistics than any software engineer and better at soft read more..

• BY: VARUN SONI
• Jun 18 2020

Data Science

Unveiling the Art of Data Visualization: A Comprehensive Guide for Aspiring Data Analysts and Scientists

The power of visual representation has been recognized for centuries, from ancient wall carvings to modern data visualization techniques. In today's data-driven world, the ability to present complex information in a simple and compelling manner has become a crucial skill for data scientists and analysts. This article read more..

• BY: Bhushan Mehta
• May 19 2020

Data Science

USE OF BASE SAS CERTIFICATION

When you intend on getting a job or changing jobs, ask yourself: "What would a hiring manager look for in an ideal candidate? Is it just a prerequisite for education?'. It is certainly not only schooling, but also specific skills that is essential to a recruiter. In the event of lateral recruiting, skills become even more relevant. Therefore, certifications in your field are often relevant and read more..

• BY: SUDHAKAR
• May 13 2020

Cybersecurity

Understanding the Distinction between Information Security and Cybersecurity Amidst Real-life Threats

Annie returned to her Florida home from the office in the early afternoon to celebrate her 2nd marriage anniversary. She had prepared all of Mike's favorite dishes and decorated the house to create a warm and loving atmosphere. After setting everything up, she went to take some rest. As the clock struck 5 pm, she anticipated Mike's arrival, only to receive a c read more..

• BY: John Paul
• Apr 14 2020

Data Science

SAS IS GAINING PROMINENCE IN HEALTHCARE -1

SAS is gaining prominence in healthcare: -When the transformation of healthcare into the digital era moves forward, there are resources that play a vital role in promoting the study of the production of the new wave of data. Statistical analysis systems (SAS) are one of the devices that has far-reaching benefits for the healthcare sector, from insurers to physicians read more..

• BY: SUDHAKAR
• Apr 08 2020

Data Science

SAS and Data Analytics: Looking at next future in Data Analytics industry

What is SAS (Statistical Analytical System)?SAS (Statistical Analytical System) is one of the most common data analysis tools. It is commonly used for different purposes such as data processing, data mining, report writing, statistical analysis, market modelling, development of software, and data warehousing.What is the future of SAS?SAS read more..

• BY: KAMLESH PATEL
• Mar 16 2020

Recruiting Strategy

Navigating MSP Relationships: Top 7 Mistakes You Can Make Doing Business With MSP

Collaborating with Managed Service Providers (MSPs) has become increasingly prevalent in the ever-evolving landscape of business partnerships. These partnerships offer numerous advantages, from streamlining processes to enhancing workforce efficiency. However, as with any venture, there are pitfalls to be avoided. In this article, we will go into t read more..

• BY: Gary Sacks
• Jul 08 2019

Recruiting Strategy

Is the MSP Business Right for You? A Comprehensive Checklist for Success

During a recent Club VMSA event, I gained valuable insights into the world of MSPs (Managed Service Providers), revealing that a significant number of vendors within this industry choose to remain inactive. It continues to astound me that senior business development managers and even staffing company owners often pursue MSP programs despite knowing their potentia read more..

• BY: Eileen Lynch
• Jun 19 2019

Recruiting Strategy

7 Key Strategies That Transformed Our Partnership with MSPs: A Winning Strategy Unveiled

Strategic partnerships have become the cornerstone of success in the ever-evolving landscape of IT integration and talent management. Over the past 14 years, we've had the privilege of supporting large IT integrators and direct retail clients. However, in the last 18 months, we've made a significant shift in our business strategy, placing a renewed focus on partn read more..

• BY: Gary Sacks
• May 06 2019

Recruiting Strategy

Elevating Quality Assurance in Staffing: The Crucial Balance Between Speed and Excellence

In a rapidly evolving staffing landscape, where speed and quantity often take precedence, the question that lingers is: Where is the quality assurance in staffing? This query was recently posed by Sally, a seasoned Senior Program Manager with over a decade of experience in MSP program management. Her insight, gleaned from managing a significant contingent spen read more..

• BY: Eileen Lynch
• Apr 19 2019

Recruiting Strategy

Unlocking the Secrets to a Thriving MSP Partnership: The Key Factors for Success

Entering an MSP (Managed Service Provider) program is a significant achievement, but the journey to success is just beginning. What distinguishes a prosperous MSP partnership from the rest? This guide delves into the essential elements that can make or break your MSP collaboration. Whether you're a seasoned supplier or read more..

• BY: Eileen Lynch
• Apr 13 2019

Recruiting Strategy

Navigating the Benefits of Rules of Engagement (ROE) in MSP Relationships

Over the past two decades, I've had the privilege of working with Managed Service Providers (MSPs) as a supplier. Whether collaborating with the nation's largest MSP programs or more regionally focused ones, I have come to appreciate the essential role that Rules of Engagement (ROE) play in this dynamic ecosystem. In this article, we will explore why ROEs are read more..

• BY: Ileen Lynch
• Jan 18 2019

Clinical

CALCULATING BOR FROM LESION SIZE USING RECIST CRITERIA: A BRIEF GUIDE TO SAS PROGRAMMER

Background:RECIST stands for Response Evaluation Criteria in Solid Tumors and serves guidance for assessing tumor shrinkage and disease progression, an important endpoint in many Oncology Clinical Trials. Currently, the revised version is RECIST v1.1, published in 2008 (Eisenhauer E.A. et al) and is used by Physicians, Statisticians, and Clinical Scientists to asses read more..

• BY: ANKIT PATHAK
• Dec 27 2018

AI/Machine Learning

MACHINE LEARNING AND CONTINUOUS AUTHENTICATION: A SHIELD AGAINST CYBER THREATS

Securing information and data through authentication has come a long way, evolving from simple passwords to more advanced methods like biometric verification. However, in today's digital landscape, the ever-increasing skills of fraudulent individuals present new challenges. This leads us to the crucial question: What's next? How can authentication mechanisms be f read more..

• BY: DHAIVAT PATEL
• Oct 23 2018

Cybersecurity

Navigating the Digital Frontier: The Imperative of Cybersecurity in the Age of Big Data

The proliferation of technology has reached unprecedented heights in our rapidly evolving world. The surge in Internet users, along with the widespread usage of Wi-Fi, Bluetooth devices, and smart gadgets like smartphones, televisions, and wearables, is expanding with every passing moment.  To grasp the en read more..

• BY: Dhaivat Patel
• Sep 19 2018

Data Science

How Telecom Industry is Shaping up for the next generation using Data Science

Telecom industry, probably, would be one of the highest, data producing industry in today's world. The amount of unstructured data produced and captured by the telecom service providers are humungous. And the size of data will keep increasing with time, as the number of individuals not using the services of telecom industry, directly or indirectly, is diminishing by the day.Also, va read more..

• BY: DHAIVAT PATEL
• Sep 06 2018

Data Science

Market Segmentation Techniques & Strategies

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics. In dividing or segmenting markets, researchers typically look for common characteristics such as shared needs, common interests, similar li read more..

• BY: PATHIK JHALAVADIA
• Jul 23 2018

Data Science

Random Forest Classification using lending club data

1. What is Lending Club?2. Data used3. What is Random Forest Classification4. Evaluation1. What is Lending Club?Lending club is a peer to peer lending company which is headquartered in San Francisco.The company connects people who need money (Borrowers) with people who have money (Investors) through its online marketplace. Investo read more..

• BY: PATHIK JHALAVADIA
• Jun 05 2018

IoT

IOT IN HEALTHCARE: PRIVACY & SECURITY

E-health frameworks and applications, which are characterized as remote systems connecting to healthcare services gadgets, are often subjected to security issues. Particularly, patient's sensitive health information prone to data security and privacy. Possible attacks include denial of service (DoS) attacks, Sybil attacks, and desynchronization attacks occurring in the network and transport lay read more..

• BY: PATHIK JHALAVADIA
• Apr 24 2018

Data Science

Classification of Amazon Articles using NLP techniques

In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results.The following diagram depicts the various components of the NLP pipeline read more..

• BY: PATHIK JHALAVADIA
• Apr 16 2018

Salesforce CRM

Unlocking the Power of Salesforce: A Beginner's Guide to CRM and Its Editions

Salesforce is a leading Software as a Service (SaaS) company that initially pioneered Customer Relationship Management (CRM) applications. Today, it has evolved into a versatile platform used for various purposes, including sales and service automation, custom application development, and partner collaboration. Founded by Marc Benioff, Salesforce's core philosoph read more..

• BY: Jigar Patel
• Apr 10 2018

Cybersecurity

CYBER SECURITY: WHAT IS IT AND WHAT YOU NEED TO KNOW?

Cyber Security is a protection offered to an automated information system in order to attain the applicable objectives of preserving the integrity, availability and confidentiality of information system resources (includes hardware, software, firmware, information/data, and telecommunications).WHY DO YOU NEED ONE?Hackers read more..

• BY: JIGAR PATEL
• Apr 10 2018

Cloud

CLOUD COMPUTING: A CONCEPT OF NEW ERA FOR DATA SCIENCE

Cloud Computing is the most interesting and evolving topic in computing in the recent decade. The concept of storing data or accessing software from another computer that you are not aware of seems to be confusing to many users. Most the people/organizations that use cloud computing on their daily basis claim that they do not understand the subject of cloud computing. But the concept of cloud c read more..

• BY: JIGAR PATEL
• Apr 10 2018

AI/Machine Learning

ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DEEP LEARNING

In this 21st century with the development of sophisticated technology in all fields life has become easier compared to the previous decades. One such result obtained by the development of the sophisticated technology is Artificial intelligence, which we are all well familiar with, as it has been a popular focus in the movies like The Matrix, The terminator, Avengers etc. Lately we have been hea read more..

• BY: PATHIK JHALAVADIA
• Apr 10 2018

Big Data

WHAT IS THE FUZZ ABOUT BIG DATA?

With the exponential growth in the usage of social networking, internet of things and devices like sensors, there has been a huge increase in demand for technologies which can store complex volumes of data and scale horizontally with minimum cost and flexibility to store unstructured data. Here, speed and scalability are important rather than consistency and structure. Traditional databases can read more..

• BY: PATHIK JHALAVADIA
• Apr 10 2018