AWS Machine Learning

FEBRUARY 13, 2024

Before moving to full-scale production, BigBasket tried a pilot on SageMaker to evaluate performance, cost, and convenience metrics. Use SageMaker Distributed Data Parallelism (SMDDP) for accelerated distributed training. Log model training metrics. Use a custom PyTorch Docker container including other open source libraries.

Engineering 104

Engineering Gamification Scripts Big data 104

360Connext

SEPTEMBER 27, 2017

There is No Perfect Metric. Leaders have spent years banging the drum for one metric or another as the perfect way to track customer experience. But the trend now is to look beyond one metric and embrace the mix of ways to measure the experience. Soft Data is Perfectly OK. It’s time to get to work.

Banking 124

Banking Metrics Big data Consulting 124

C3Centricity

MAY 25, 2020

Yes you have data and information, but if you’re a regular reader of my blog, you will know that you have to turn these into knowledge to understand your customers. But this can only be done by asking the right questions of your data and information. The Opportunity. And then develop insights and actions.

Technology 77

Technology Big data Analytics Personalization 77

Lumoa

SEPTEMBER 30, 2022

Improving Products and Services Through Big Data. Big data, which is the vast amount of information collected from different customer touchpoints, has already fueled the growth of the financial industry. . In the past, the biggest challenge wasn’t the collection, but the analysis and interpretation of this data.

Banking 94

Banking Customer Experience Big data Chatbots 94

C3Centricity

MARCH 15, 2018

Yes you have data and information, but if you’re a regular reader of my blog, you will know that you have to turn these into knowledge and understanding, and then into actionable insights. And this can only be done by asking the right questions of your data and information. The Opportunity. ” Bold words indeed!

Big data 82

Big data Analytics Personalization Entertainment 82

Totango

DECEMBER 1, 2021

In this blog, we’ll look deeper at what an agile customer success strategy means and why you can benefit from using one. An agile approach brings the full power of big data analytics to bear on customer success. This should reference your KPI metrics and lay out a path to achieve each.

Government 99

Government Journey mapping Accountability Benchmark 99

Call Design

SEPTEMBER 21, 2021

Data Analytics. The contact centre industry is no different from any other and analysing big data allows managers to refine output more accurately than ever before. Metrics include: • First call resolution. Thereby, training an agent to perfection is crucial to the performance of any contact centre.

Gamification 78

Gamification Schedule adherence Average Handle Time First call resolution 78

JustCall

MARCH 28, 2023

This comprehensive blog post highlights the most significant customer support trends for 2023 that all customer service leaders should be aware of. Harnessing Data and Analytics for Customer Service Utilizing big data is the key to delivering exceptional customer service and fostering long-lasting relationships.

Customer Service 52

Customer Service Chatbots Analytics Upselling 52

aircall

FEBRUARY 24, 2021

And even when sales reps have the right data, they need to know what does and doesn’t work in certain situations. . Believe it or not, it’s actually possible to measure sales efficiency , and it’s one of the most important metrics you should track if you want to maximize your sales team’s performance. Tap into big data.

Sales 62

Sales Technology call center software CRM 62

Cincom

OCTOBER 14, 2020

Data has been the essential raw material used to identify market segments, market size, audience, buyer preferences, message content, contact qualification and all the other metrics and values required to market a product. The tough part is analytics.

Marketing 52

Marketing Analytics Call Logging Enterprise 52

Totango

SEPTEMBER 1, 2022

In addition to relying on outdated data, the traditional QBR model fails to take advantage of the latest tools for agile innovation in digital technology, AI, and big data analytics. Today’s competitive SaaS company needs a digital, data-driven, AI-powered approach to QBRs for SaaS. Reimagining the SaaS QBR .

SaaS 100

SaaS Journey mapping Upselling Best practices 100

Natalie Petouhof

OCTOBER 12, 2016

Tweet Digital Performance Management provides companies with the analytics to determine if their customer experience is optimized. Monitoring of each customer’s journey and business transactions, using intelligent analytics. Big data monitoring and data visualization  . Customer behavior analytics.

Management 55

Management Big data Analytics Engineering 55

Aria Solutions

JUNE 8, 2017

Most contact centers use interaction data to justify or support contact center metrics, such as average call handle time, speed of answer, abandonment and even first call resolution. But when you think about it, doesn’t it make more sense to capture data at the event and interaction level?

Contact Center 48

Contact Center Big data First call resolution Metrics 48

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. He is also passionate about building AI and analytic solutions.

APIs 66

APIs Engineering Construction Benchmark 66

LiveChat

NOVEMBER 28, 2016

Well, the response is one: big data. There are some basic metrics that you will surely see in your Google Analytics like unique visitors, page views or average time spend on your website. Customer experience is not limited to direct contact with customers or purchases. Learn about customer preferences and needs.

Customer Service 55

Customer Service Brand ambassadors Customer centricity Big data 55

Avaya

MARCH 23, 2017

This next-generation CX is supported by several advanced technologies—big data analytics, omnichannel, automation—however, these investments are all aimed at driving one thing: contextualization. The post Get out of the Queue: Drive Your CX with Attribute Matching appeared first on Avaya Connected Blog. Contact us.

Big data 61

Big data Banking Contact Center Call Center 61

Natalie Petouhof

FEBRUARY 28, 2016

Armed with a brand new user experience and analytics, this latest release includes innovations in performance management to help organizations gain even greater insight into how employees are performing, how well goals are being met and how to better engage and take action on these insights. What Does the Scorecard Include?

Gamification 45

Gamification Management Analytics Metrics 45

Tenfold - Contact Center Blog

NOVEMBER 30, 2017

Businesses are getting deeper into predictive analytics, using artificial intelligence (AI) applications to help streamline call center experiences for customers and agents. This requires tracking and measuring call center metrics and key performance indicators to evaluate both agent and call center performance.

Call Center 56

Call Center Customer Support Customer centricity Contact Center 56

Vistio

OCTOBER 5, 2021

He is a former technology director turned communication adviser, writing books and blogs on technology, work, and globalization. You now work predominantly as a communication advisor due to your experience writing books and blogs on technology work and globalization for notable media outlets like Huffington Post and the BBC.

Chatbots 52

Chatbots Contact Center Banking Technology 52

AWS Machine Learning

JANUARY 26, 2024

Repeat this process for each of the OWASP Top 10 for LLM vulnerabilities to ensure you’re maximizing the value of AWS services to implement defense in depth to protect your data and workloads. Ram Vittal is a Principal ML Solutions Architect at AWS. In his spare time, he rides his motorcycle and walks with his 3-year-old Sheepadoodle!

Best practices 126

Best practices Government Engineering Accountability 126

Natalie Petouhof

JUNE 9, 2016

The partnership includes Microsoft Dynamics and Lithium’s community data, social customer intelligence and analytics. It is the era of customer experience being the number one metric all CEOs and CFOs need to pay attention to.

Technology 45

Technology CRM Customer centricity Analytics 45

SmartKarrot

AUGUST 12, 2021

AI is potentially in demand because it can analyze and process a large amount of data from multiple sources, including human behaviors and emotions, thus helping create a superior customer experience (CX). In this blog, we’ll explain why companies invest in AI and its uses in customer experience.

Customer Experience 11

Customer Experience Automotive Chatbots Big data 11

Natalie Petouhof

DECEMBER 8, 2015

Following these interactions, key metrics can be automatically added into the bank’s performance management scorecards, enabling them to track customer satisfaction, gauge customer wait times and other efficiencies, determine interaction success rates, and identify areas for training and development. How Will Brands Measure Success?

Banking 45

Banking Enterprise Wait times Contact Center 45

Beyond Philosophy

DECEMBER 23, 2015

Many are actively collecting Voice of Customer (VOC) data through surveys, feedback management, analytics and market research relating to customer retention, loyalty, brand equity and satisfaction. As a result, they are able to create enormous streams and bases of data – known, collectively, as “Big Data”.

Chief Customer Officer 250

Chief Customer Officer Enterprise Customer centricity Consulting 250

ClearAction

APRIL 18, 2015

Propagate thought leadership: blog/wikis/social media are a great way to tap into peers’ expertise. Focus employee metrics more on CX enabling behaviors, less on survey ratings. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@tcrawford. —@EngageGXD.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

aircall

APRIL 16, 2021

Establish performance metrics (response time, retention, engagement, etc.). SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. 8) Failing to track metrics. Use Aircall’s dashboard analytics to evaluate metrics and KPIs, set goals, gain insights, and spot trends.

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

SEPTEMBER 21, 2022

To achieve this, companies want to understand industry trends and customer behavior, and optimize internal processes and data analyses on a routine basis. When looking at these metrics, business analysts often identify patterns in customer behavior, in order to determine whether the company risks losing the customer. Choose Visualize.

Metrics 80

Metrics Marketing Big data Banking 80

AWS Machine Learning

JULY 14, 2022

This is a guest blog post by Danny Brock, Rajeev Govindan and Krishnaram Kenthapadi at Fiddler AI. Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. Now upload your training dataset.

Enterprise 76

Enterprise Engineering Analytics Big data 76

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 56

Multichannel Contact Center Big data Metrics 56

aircall

MAY 17, 2021

Companies rely heavily on reporting without the advantage of data and analytics that are so critical to establishing efficient, productive workflows. In today’s marketplace, automation, digitization, and big data are your friends. It doesn’t pay to put things off.

Transportation 71

Transportation Entertainment voip Construction 71

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. AI/ML specialist SA at AWS and an author who frequently publishes blogs, research papers, and recently a NLP text book. For more information, see the project GitHub repository. About the authors.

Contact Center 101

Contact Center Interactive Voice Response Self service Accountability 101

SmartKarrot

JUNE 23, 2020

So much so, that now behavioural data and behavioural analytics are considered the secret ingredients for product led growth. . But what are behavioural data and behavioural analytics? . Behaviour data is essential for behaviour analysis. It helps organise, segment and make sense of your raw behavioural data.

Analytics 10

Analytics SaaS Upselling Entertainment 10

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

AWS Machine Learning

SEPTEMBER 9, 2022

This is a guest blog post cowritten with athenahealth. As we noted in the previous section, data scientists perform exploratory data analyses, run data analytics, and train ML models. For logging, we utilize FluentD to push all our container logs to Amazon OpenSearch Service and system metrics to Prometheus.

Engineering 75

Engineering Healthcare APIs Scripts 75

Comm100

MARCH 27, 2023

For teams tracking resolution analytics, routing can improve First Contact Resolution (FSR). LivePerson focuses on big data, providing student intent and engagement metrics through their chatbot platform. LivePerson reporting tools include sentiment analysis and dashboards for analysis of historic and real-time data.

Education 65

Education Chatbots Wait times Surveys 65

Stratifyd

JANUARY 29, 2019

Additionally, we were named a "Cool Vendor in Analytics" by Gartner as well as one of "Charlotte's Best Places to Work" and the 2nd fastest-growing company in Charlotte by the Charlotte Business Journal. Leverage marketing automation tools to develop and analyze key marketing metrics. Familiarity with SEO principles.

Marketing 40

Marketing Analytics Healthcare Big data 40

aircall

MARCH 19, 2021

With all the available customer data companies have at their disposal to enhance the performance of customer service, sales, and marketing efforts, a remarkable 73% of companies still do not use it effectively. And out of those who do practise data collection, only 12% analyze it. All Customer Data in One Phone.

Sales 62

Sales CRM Marketing Best practices 62