Tag: Machine learning

Conquering the Cloud: CEPTES Journey So Far
ceptes, Salesforce Integration

Conquering the Cloud: CEPTES Journey So Far

  • The journey started in 2010 with just a couple of employees and customers across the US and India. Ten years ago, we endeavored to help global IT firms move their sales & services operations to the cloud. Since then, there has been no looking behind. Within a year of its foundation, CEPTES expanded its services to the Netherlands and added more customers. Today, we are happy to announce that we have 200+ customers, and our workforce is growing stronger by the minute!

Today, CEPTES is an accredited and highly sought-after Salesforce Service provider among businesses looking to tap the Salesforce cloud’s immense potential. As a Salesforce Silver Consulting Partner, we strive to deliver high-performing, out-of-the-box, and lightweight cloud solutions to businesses worldwide. 

In our journey so far, we’ve worked with some of the top-notch companies and brands that were looking for innovative and high-performing Salesforce solutions, such as:

  • Complaint handling and risk management with Salesforce-powered solution – We automated the client’s entire operation, thereby making it more accessible, better, and faster.
  • Donor portal for an NGO – As a result, the NGO can keep better track, manage, and retrieve its donor records.
  • A healthcare service provider with Salesforce Lighting Migration – Leading to significant revenue growth and improved operations across departments. 
  • Vehicle repair and service appointment solutions through Salesforce – We helped the client streamline the process for their end-users with the Salesforce cloud solution.

We’ve helped countless businesses understand the cloud’s significance by helping them to scale up their operations with the Salesforce cloud. 

At CEPTES, we follow a methodical process to empower businesses with the cloud. Our unique approach focuses on multi-cloud, so you have a robust platform that allows you access to customer data in 360 degrees. 

We leverage sales cloud, community cloud, service cloud, and Pardot to implement multi-cloud solutions that empower businesses with 360 View of Customer Relationships. 

Companies that employ multi-cloud customer 360 Solutions are on a winning edge by offering highly personalized and customized services to their customers. 

 

What’s the Buzz Around SaaS, PaaS, and IaaS?

 

What's the Buzz Around SaaS, PaaS, and IaaS

Businesses can boost their productivity & efficiency without adding to the costs with SaaS, PaaS, and IaaS. At CEPTES, we help companies integrate these three services and start using them immediately for enhanced profitability. 

The mistake lies in the approach: migration first. 

When adopting the cloud, most enterprises treat it like another hosting environment where they can dump their problematic and sluggish internet legacy and IT systems. 

This way, these companies might succeed in cutting down their costs of infrastructure and enhance performance, they end up short-circuiting their cloud-adoption process as they follow the legacy-first path and fail to take advantage of the highly flexible, modern platform. 

Most organizations end up missing almost 80% of the benefits that the cloud can offer. 

 

The Solution!

 

The Solution

 

At CEPTES, we focus on Salesforce integration, customization, and implementation of all Salesforce products and solutions. However, our expertise lies in building, developing, and deploying enterprise-grade applications at blazing fast speeds. 

Large enterprises should grasp the power of the cloud-first and understand how it is different from the legacy system by working on small but essential proof-of-concept projects on varied topics, including artificial intelligence, predictive analytics, machine learning, and many more. 

Pursuing these will help enterprises better understand the cloud’s security issues, build a development pipeline, and benefit from this fantastic technology’s elastic principle. 

Since a data center may not be the best place to accommodate these innovations, it’s recommended that you employ these innovations for prototyping a feasible agile approach of DevOps.

Unburdened by the legacy system’s constraints, the new and unique capabilities of the cloud offer great flexibility and produce fantastic gravitational pull within your organization. Businesses can leverage the most actual potential of the cloud to save costs. But they must ensure they derive maximum value for their money while opting for the cloud. There are two ways in which you can adopt Salesforce cloud – one is the subscription model wherein you pay upfront, and the other is the pay-per-use. However, each model has its risks and benefits.

You may end up incurring more expenses with the subscription model in case service consumption is not monitored, and the company continues to pay for a service no longer in use. Conversely, pay-per-use may put your operations in trouble as you never know how soon the budget may deplete in the event when consumption exceeds forecasts.

It is, therefore, pertinent to align the decisions of purchasing the cloud with the critical objectives of your business. Whether your goal is to cut the costs or increase flexibility or both? Shadow-IT-assessments and identifying the cloud services being used that have been bought outside of the control of the IT dept. In short, it is essential that you have complete visibility of cloud services in use by your organization to ensure you save costs and manage security vulnerabilities.

 

CEPTES – Helping Global Businesses Tap Salesforce Cloud’s Potential for their Advantage

If you have been struggling to reduce costs and digitize your sales & marketing operations, Salesforce Cloud should be on your shopping list. Call us to discuss how CEPTES can help you employ Salesforce Cloud for your business gains. Connect with us or request for a demo here.

webinar
AI, Data Lake, Data Management, Delta Lake, General

InleData Webinar– The Next Gen Delta Lake Platform to Accelerate Your Business

Data has been in the light of ever-increasing profitability for any organization or business. It can be easily said that any business having a fast and easy data analysis process will have the upper hand in making a profit for the company at a flash speed. 

 

Without the manipulation of data, it becomes next to impossible to implement a sound business strategy. However, when one has sufficient data, unprocessed and unorganized data leads to nowhere. This is why Data management is a prerequisite for overall business growth.

 

The genuine concern is that do you have sufficient knowledge before choosing a data management tool?

 

This Webinar strives to help you comprehend all the needed factors before getting started with data analytics.

 

It will also teach you some of the salient features present in InleData, which will help you manage your business effectively.

 

Get to know how InleData can ingest data from multiple sources to gain a holistic view of their business ecosystem. 

 

As your data continues to grow, you’re left to figure out how to have a unified system to store data for several types of usage scenarios, including analytical products or machine learning workloads. 

 

Through this Webinar, you’ll also understand the critical differences between Delta Lake, Data Lake, and Datawarehouse and how a Delta Lake solution simplifies your data analytics and architecture. 

 

You will understand duplicate data and how InleData DEDUP helps manage such data without losing the original.

 

Our experts will also give you an insight into the security issues a data management tool incurs and how InleData state of the art security systems handle them.

 

Join us on Feb 24, 2021, at 11 AM EST to explore the understanding of data management and why it is so valuable and unravel how to integrate it with your workforce and business.

 

inledata-webinar

 

InleData Webinar Key Takeaways:

 

  • Data Management: Opportunities, Challenges, and Strategies
  • How a Delta Lake Solution can transform your business
  • Critical Differences: Delta Lake vs. Data Lake vs. Data Warehouse
  • How to Choose the Right Solution for Your Stack
  • Introduction and Demo of InleData

 

Webinar Details: 

Title: InleData – The Next Gen Delta Lake platform to accelerate your business

Date: Feb 24, 2021

Time: 11 AM EST | 09:30 PM IST

Duration: 30 Minutes 

 

Get yourself ready to dive into the ocean of possibilities of making your business grow, prosper, and profitable. 

Please register here

How a Data Lake Solution can be a game changer for your business
Data Lake, Salesforce

How a Data Lake Solution can be a game-changer for your business?

“There was a Time When it was Impossible to Store Data Without Analyzing. But now, with the advent of Cloud Computing, You Can Load Data Without Analyzing It First. That’s How Data Lake Works and Built on the Philosophy- Load First, Think Later,” unlike Data Warehouse- Think First, Load Later.” 

More than 90% of all business data are in unstructured formats. 

Businesses today need unstructured data as they don’t want only to analyze their operational data. 

At one time, it was impossible to store and analyze such data. 

But now it is with the advent of Cloud Computing that allows loading unstructured data with predefined business requirements easily. 

What Really is Data Lake? Why Does it Even Matter?

Data Warehouse THINK FIRST, LOAD LATER

At first, there were Databases, then came Data Warehouse, and now we have Data Lake. Data Lake is an emerging technology that has redefined Data extraction, storage, and analysis.

Let us first understand what is Data Warehousing. Data Warehouse is a centralized location where all the data of an enterprise company is stored. But before you store the data, you need to define the business need.

But why do we want to store data in a Data Warehouse?

Suppose we take Walmart, which is the largest retail outlet in the US. 

They have these business requirements-

Which products were sold the most in the last 6 months?

Who were the customers that bought these products?

Where are these customers located?

Different kinds of data, like a customer, product, and sales, are stored in different source systems. 

Similarly, when you visit a retail store or a shopping mall and reach the Point of Sales (POS). POS is a place where you make the purchase, and it’s the time and place where a retail transaction is completed. 

At this point, your data enters into the systems and gets stored in various transactional systems. If you want to merge and analyze this data from a central location, you first extract this data. 

So, the data you need for analysis can reside in any of these systems. It can be in Sales, HR, or inventory source systems. 

Once the data is loaded into Data Warehouse, business analytics and reporting happen on top of this data, later passed on to ETL (Extraction, Transform, Load).

From ETL, you collect the data based on your requirements and finally get stored in the Data Warehouse. Once data is loaded into Data Warehouse, then business analysis and reporting happen on top of this data. Hence Data Warehouse works on the philosophy of THINK FIRST, LOAD LATER. 

This means you first need to know what data you need, and based on your requirements; you fetch the data. 

Data Lake- LOAD FIRST, THINK LATER

Today, when you talk about Business Intelligence or Analysis, you’re mainly talking about a Data Warehouse (mostly supports structured data). Now with a fast-growing technological advancement, data volumes are increasing exponentially. 

Today every small system, sensor, or machine generates insightful data. But this is not structured data. This data includes unstructured data, sensor data logs, online repositories, web servers, databases, APIs, and a lot more. 

Businesses today require unstructured data as they don’t want to analyze only its operational data. At one time, it was impossible to store without analyzing such data. But now, with the help of Data Lake, loading unstructured data has become a lot easier. 

Built on the philosophy of- LOAD FIRST, THINK LATER, you can now load whatever data you have and later analyze how you can use this data. Data Lake accepts all kinds of data structured & unstructured logs, images, everything. It stores everything in its raw state. 

Data Lake acts as a central reservoir that stores without any pre-analysis of data. Once data is in Data Lake, you can use it for multiple purposes. 

 How Data Lake Solutions can Impact Your Business?

  • Data Lake allows all employees to access data, not just managers or upper management. An employee has the option of using only those that are essential for his department. An enterprise has the ability to keep large amounts of data for a considerable price.
  • Companies can easily hoard their data since Data Lakes offers a huge variation in the types of data. 
  • Organizations can store their data in a native format and easily pull required data to any future system. 
  • Various departments in any enterprise can access quality data for real-time analytics.
  • Data Lake not just supports SQL but also multiple languages.
  • It can preserve raw data for data exploration and data science.
  • Data Lake handles data at a very high speed giving faster results.
  • Data Lake offers scalability at a very affordable price and can store huge amounts of data like multiple media, social data, chat, binary, and other data forms.

Verdict- Which is Better and What to Choose?

Both should co-exist as all your requirements cannot be fulfilled solely by Data Lake or Data Warehouse. So ideally, you should first build a Data Lake and then derive various Data Warehouses from it. Data Lake is a good platform for advanced data analytics. With technologies like Machine Learning and AI, you can process any data, which is why Data Scientists come into the picture now. Data Lake and Data Warehouse are different but work together fulfilling your business requirement. To know more, connect with us to scale up your business. 

AI, Salesforce

How Salesforce is using AI across its platform

In an interview during Salesforce World Tour in London this month, the head of the Salesforce Einstein product team discussed how they are using top-notch data science techniques and enable their customers to get best experiences in Salesforce’s SaaS platform.

Since Salesforce has acquired MetaMind and appointed its Founder Richard Socher as the Chief Scientist of the company, the primary objective is to implement intelligent features more into Salesforce’s CRM software. This will provide more access and insights to Salesforce’s customers in the sales, marketing, and customer service domain.

This was the idea behind the Einstein brand which was announced during Dreamforce 2016. Since then, each year Salesforce is introducing innovative groundbreaking features in it’s AI platform. Salesforce’s AI and Machine learning in-charge Marco Casalaine and his team work with all the product teams on each cloud platform within Salesforce – be it Marketing, Sales, Service, Analytics or Commerce, to discover areas where AI could be used to make it better. Salesforce has embraced AI in various platforms as well as in MyEinstein platform, which presents the underlying technology to customers looking for customized deployments.

Customized AI with MyEinstein
MyEinstein represents Salesforce Einstein, which is AI for it’s CRM platform. The objective is to allow customers to develop custom AI models on their Salesforce data to help them predict business outcome and take productive business decisions.

Enterprises can develop smarter, more predictive applications which can leverage their Salesforce data and solve their specific business challenges with MyEinstein. So, without the need for a data scientist, an organization can have AI that is customizable for their business.

Einstein Vision
Now you can harness the power of image recognition to resolve a broad range of specialized use cases by leveraging pre-trained classifiers.

Einstein Object Detection
Train models to identify objects within the images and detect types and numbers of the objects at scale.

Einstein Sentiment
You can now leverage the power of natural language processing to analyze the sentiment of text and classify it as positive, negative, or neutral.

Einstein Intent
Use this fully customizable service to classify the underlying intent in a body of text to understand what customers need across all channels.

Future Roadmap
Customers are expecting a lot from Salesforce AI. AI implementations take longer to roll out than usual features. Currently, Salesforce is working on Einstein prediction builder, which is built on the MyEinstein platform and is aimed at putting predictions right where you are in Salesforce.