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Top 3 Signs Your Business is Not Really Agile- featuring Forrester Research

Top 3 Signs Your Business is Not Really Agile- featuring Forrester Research

What are the signs that you’re not really agile, even if your organization thinks it is? Here’s a Ness video featuring Amanda LeClair, Forrester Analyst at Forrester Research, who discusses the top 3 signs to look for to determine if your business is really agile.  

“When I think about Agile – it’s all about speed and quality. A lot of the times those are the two combinations I am looking for to see if a firm is actually agile or not,” states Amanda. In this exclusive Forrester video, Amanda discusses the top 3 signs to look for if a company has truly embraced the principles of Agile or if they have only adopted a few of the practices. Agile is all about integrating things like experience design, design thinking, customer journey mapping — which matches the speed with quality.

Top 6 Tech Trends for the Enterprise in 2019

The progression of new technologies and scientific innovations is relentless and plays a significant role in tackling the most pressing business challenges. The desire for innovation makes the list of the ‘next big things’ grow and it can be difficult to distinguish what’s the most promising. Some technologies have the potential to transform and disrupt the status quo and set new standards. So, what does the emerging technology landscape look like for 2019?

Moshe Kranc, Chief Technology Officer at Ness Digital Engineering, worked with his team to identify macro trends and specific technologies that will be game-changers in 2019. Their predictions were featured in this InformationWeek article. In this insightful article, Moshe delineates the top 6 tech trends for the enterprise in 2019 and the specific impact these trends will have on the IT department.

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Progressive Web Apps: Are they the app model of the future?

In today’s digitally connected world, most companies need mobile-friendly websites. Until recently, businesses had a limited number of options – each with several pros and cons. Today there’s a new trend that utilizes the technology of both mobile web browsing and mobile applications. It’s called a Progressive Web App, or PWA.

Daniel Masarik, Development Lead at Ness Digital Engineering, has authored a column for CMS Wire, titled “Time to Be Bullish on Progressive Web Apps.” This insightful article delineates what PWAs are and why they’re the next big thing. It has been a topic of considerable interest recently, since it uses modern web capabilities to behave more like an app and can be used in any kind of device – desktop, mobile, tablet, and enables a better user experience if the browser can support it. Daniel also reveals some interesting features that qualify a web app for entry into the PWA league.

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How IoT, AI, and Blockchain Revolutionize Business

Today’s world is at the brink of a technology revolution. There’s a lot of excitement with some of the technologies involved including, Artificial Intelligence (AI), Internet of Things (IoT), Blockchain and more. Adoption of these technologies in industries across the world has increased in a bid to improve efficiency and make businesses more customer-friendly. Companies are releasing new products based on them, investors seem to be in a feeding frenzy to invest in them, and the press can’t heap enough praise on them. In the midst of this enthusiasm, it’s arduous for business leaders to assess the enduring impact of these technologies. So, how can you sift through the hype?

Moshe Kranc, Chief Technology Officer at Ness Digital Engineering, has authored a column for Express Computer, titled “Reality Check: Looking at Use Cases For AI, IoT and Blockchain.” This insightful article discusses ways to examine the hype. “One useful way to sift through the hype is to focus on use cases: what real-world problems can a given technology solve better than any other existing alternative,” states Kranc.

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Why Data Science is Vital and How it Adds Value to Businesses

Data is everywhere. Businesses are generating data – both structured and unstructured–at an unprecedented speed from all types of sources: IoT sensors, social media, electronic gadgets, e-commerce sites and more. But, it’s not the copious amount of data that provides value for businesses. What really matters is how organizations aggregate and leverage data to generate meaningful insights for their business; insights that further enable them to work faster, stay agile, identify new opportunities, and gain a competitive edge like never before.

Organizations can unlock these insights with data science — a study of how to analyze the streams of structured, unstructured, internal and external data that are collected from multiple sources. Companies that can effectively use data science techniques will place themselves in a powerful position in the market, as they can forecast the future, predict trends, understand changing customer behavior, and implement sophisticated, proactive business solutions and processes.

Data Science Can Improve Business Performance

Some High-Impact Use Cases for Data Science

  • Better understand sales patterns to improve demand forecasting: Forecasting methods depend largely on available data. Most demand forecasting planning processes used by retailers and manufacturers rely heavily on historical and real-time, internal data to better identify patterns in customers preferences. Data science can help retailers and manufacturers more-effectively leverage a more comprehensive range of customer data, whether it’s transactional data or a digital footprint left behind by online visitors. By more fully utilizing data, retailers and manufacturers can derive deeper insights into buying patterns online and in brick-and-mortar stores, and make adjustments to how they market, price, and plan the sale of their products. They can also use the power of predictive analytics to anticipate future purchase trends. And, they can leverage collaborative filtering models, which make personalized recommendations for a customer based on similar customers’ behavior. Many companies, such as Netflix, Amazon, Facebook, and Spotify, are using these systems to predict a customer’s likely preferences.
  • Prevent, detect and manage fraud and mitigate risks across the enterprises: Using data science, along with other cutting-edge tools, helps organizations in the financial and government sectors, for example, step up efforts for monitoring fraudulent transactions and other organizational risks. Credit card companies are leveraging data science and on-demand metrics to identify suspicious activity and block card usage immediately when problems are detected. By better identifying fraudulent activities in real-time, credit card companies can drive down the costs associated with fraud, while improving customer satisfaction.
  • Improve student outcomes: Schools and other educational institutions now have more data than ever about their students’ progress in learning. The availability of this data is enabling educators to make better decisions about curriculum and instruction, diagnosing where and why learning gaps exist and identifying key areas where more focus is needed.

Organizations across many industries can leverage data science techniques to improve business insight and gain a competitive edge. Experienced partners such as Ness are helping companies identify these opportunities, accelerate development of data science-enabled solutions, and generate a new level of value for their businesses.

Steps You Should Be Automating in the SDLC – Part 2

Anand Subramanian, Senior Vice President at Ness Digital Engineering, has been featured in DEVOPSdigest magazine. Anand is quoted in an article titled, “Steps You Should Be Automating in the SDLC – Part 2,” in which he shares a key automation step that sometimes gets overlooked.

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The Quest for Data Scientists and The Impact of “Instant Data Science” Products

Today’s world is built on data; each digital transaction, interaction and activity generates and captures voluminous amount of data per day, which in turn holds meaningful information on behaviors, preferences, trends and forecasts. Many companies want data experts and are willing to pay a high price for the right candidates. These hard-to-find experts are responsible for unlocking insights and translating them into business value.

Moshe Kranc, Chief Technology Officer at Ness Digital Engineering, has authored a column for Datanami, titled “Instant Data Science.” This insightful article explores why good data scientists are difficult to locate and explains how the shortage may soon be alleviated by “Instant Data Science” products. “No wonder good data scientists are hard to find! The profession requires a wide variety of skills, as well as the intuition and experience to know how to put insights together,” states Kranc. Learn how “Instant Data Science” tools are beginning to automate the solution of data science problems. View full article: