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Integration-Architecture-Designer Salesforce Certified Integration Architecture Designer

Exam Details for Integration-Architecture-Designer Salesforce Certified Integration Architecture Designer:

Exam Specification:
- Number of Questions: The test typically consists of multiple-choice questions, with a total of approximately 60 questions.
- Time Limit: The total time allocated for the test is usually 105 minutes.
- Passing Score: The passing score for the test varies, but it is generally set around 70% or higher.
- test Format: The test is usually conducted in a proctored environment, either in-person or online.

Course Outline:

The Salesforce Certified Integration Architecture Designer course covers the following key areas:

1. Integration Concepts:
- Introduction to integration concepts and patterns
- Overview of enterprise integration architecture
- Integration design principles and best practices

2. Integration Patterns and Technologies:
- Understanding various integration patterns (point-to-point, hub-and-spoke, etc.)
- Integration technologies such as REST, SOAP, and messaging systems
- Using APIs for integration and data exchange
- Event-driven architecture and real-time integration

3. Integration Security and Governance:
- Integration security considerations and authentication mechanisms
- Secure transmission of data and message encryption
- Governance practices for managing integrations
- Auditing and monitoring integrations

4. Integration Design and Solution Architecture:
- Analyzing integration requirements and solution design
- Mapping business processes to integration flows
- Identifying integration patterns and data transformation needs
- Designing fault tolerance and error handling mechanisms

5. Integration Testing and Deployment:
- Strategies for integration testing and test data management
- Performance tuning and optimization for integrations
- Continuous integration and continuous deployment practices
- Deployment considerations for integrations in different environments

Exam Objectives:

The objectives of the Integration-Architecture-Designer test are to assess the candidate's understanding of the following:

1. Integration concepts and patterns.
2. Integration technologies and APIs.
3. Integration security and governance.
4. Integration solution design and architecture.
5. Integration testing and deployment best practices.

Exam Syllabus:

The test syllabus for Integration-Architecture-Designer includes the following topics:

1. Integration Concepts
2. Integration Patterns and Technologies
3. Integration Security and Governance
4. Integration Design and Solution Architecture
5. Integration Testing and Deployment
Salesforce Certified Integration Architecture Designer
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Question: 39
Universal Containers (UC) has an ERP application where all customer orders are stored. There are millions of
customers order stored in the ERP application and a longtime customer may have thousands of individual orders.
Additionally, some order information may house personally identifiable information that, due to company policy, can
only be stored in ERP. UC would like the five most recent orders displayed on the account page in Salesforce.
How should an Architect design this requirement considering both security and scalability?
A. Leverage Salesforce Connect to display order information in Salesforce.
B. Write an outbound message to receive orders from ERP system as they are created.
C. Build a scheduled ETL job to sync all customer order history in the Orders object.
D. Leverage the REST API to receive orders from the ERP system as they are created.
Answer: A
Question: 40
Universal Containers is building a mobile application that connects to Salesforce for memorizing and updating data
What is the appropriate authentication solution?
A. Create a mobile Integration user ID whose credentials are stored within the mobile application code.
B. Prompt for the mobile users username and Password; utilize the oAuth Username-Password flow to obtain an
oAuth token.
C. Redirect to Salesforce via the User-agent oAuth flow to obtain an access token and refresh token.
D. Prompt for the mobile users username and password; utilize the Enterprise WSDL login() operation to obtain a
session I
Answer: C
Question: 41
Universal containers has complex data transformation, error handling and process automation requirements as part of
their integration strategy.
What technology should an Architect recommend in order to minimize Salesforce code customizations?
A. Data Loader
B. Canvas
C. Process Builder
D. Middleware
Answer: D
Question: 42
Universal Containers manages a catalog of over one million products that it makes available to its customers. The
master product catalog is stored and managed in their ERP application with frequent updates made to the product
catalog by their sourcing team. The sourcing team may update attributes such as price, general catalog availability, and
the product description. When the sourcing team makes an update that change must go into effect during the next
business day and there may be thousands of changes made over the course of the day.
What integration pattern would you recommend to best manage this scenario?
A. Write a custom web service to accept product catalog changes from ER
C. Use the streaming API to receive product changes in real time from ER
E. Write an outbound message to send product changes in real time from ER
G. Build a scheduled ETL job to sync products on a nightly basis from ER
Answer: D
Question: 43
Universal Container needs to integrate Salesforcewith several home-grown systems. These systems require custom
code to be written in order to integrate with them, and the CIO argues that if custom code needs to be written, then
there is no reason to invest in middleware.
Which three considerations should an Architect bring up to the CIO? Choose 3 answers
A. Performance
B. Error Handling
C. Bulkification
D. Orchestration
E. Logging
Answer: B,D,E
Question: 44
Universal containers ships millions of orders per year and releases code fixes to the production org mightily. Their
corporate testing strategy requires that tests must be performed against Production data in an isolated test environment
before code can be released to production.
How can Universal Containers achieve the requirement?
A. Use Salesforce-to- Salesforce to keep data synchronized between production and full sandboxes.
B. Utilize a middleware solution and batch API to do a nightly synch from production to Full sandbox.
C. Create APEX unit tests so testing can be done against Production data, but rolled back before being committed.
D. Request that Salesforce to schedule a full sandbox refresh on a nightly basis.
Answer: B
Question: 45
Universal containers has an integration that runs nightly to update the product(product2) object in Salesforce with
updated product availability for over 500,000 products. Occasionally (less than 1 time per month) a product record fails
to update due to a data validation issue that cannot be predicted in advance.
How should universal Containers monitor this nightly batch import of data into Salesforce so that any error can be
corrected promptly?
A. Configure an Enterprise Server Monitoring tool to process ETL success and failure logs.
B. Configure Salesforce to email an administrator when Bulk API batches fail.
C. Monitor the Bulk Data Load Jobs page daily for failed batches
D. Configure the ETL middleware to notify an administrator via email when a record update fails.
Answer: C
Question: 46
In order to avoid slowing down inbound call center sales agents, Universal Containers wants to de-duplicate Lead
records against their 3rd-party MDM system after that the agent has served the record in Salesforce.
What integration strategy should an Architect recommend?
A. Outbound message to MDM with a callback to Salesforce to mark duplicate Leads.
B. Sync the MDM system to a custom object in Salesforce and execute a Lookup validation rule against the object.
C. Batch APEX process to de-duplicate all records first in Salesforce then against MDM, deleting the existing MDM
record.
D. Use Out-of-the-Box Lead De-duplication Rules to checkagainst MD
Answer: A
Question: 47
Universal containers has complex data transformation, error handling and process automation requirements as part of
their integration strategy.
What technology should an Architect recommend in order to minimize Salesforce code customizations?
A. Data Loader
B. Canvas
C. Process Builder
D. Middleware
Answer: D
Question: 48
Universal Containers (UC) stores inventory of products in one Salesforce org. UC wants regional and local branch
offices who have their own Salesforce orgs to see the latest information about the product.
What is the recommended approach to provide data access?
A. Use Heroku Connect to provide access to products as external objects from other orgs.
B. Use Salesforce Connect with oData to provide access to products as external objects.
C. Use Apex HTTP Callouts to call Salesforce Rest APIs and provide access restrictions within the Apex class.
D. Use Cross-Org adapter for Salesforce Connect to provide access to products as external objects.
Answer: D
Question: 49
Universal Containers would like to use a hard-coded username/password/security token of a user with a System
Administrator profile to integrate its back-end system to Salesforce for inbound API calls.
Which two security issues are associated with this approach?
A. All back-end systems get uncontrolled access to any data within the Salesforce environment.
B. Unintended password resets will cause the integration to stop working and disrupt business processes.
C. Apex web services can executive with system privileges with such Salesforce credentials.
D. Unsecure storage of the credentials may result in hackers gaining unauthorized access to Salesforce.
Answer: A,D
Question: 50
UC leverages customer MDM as a source of truth. The requirement is to dedupe and store any account or contact
created in MDM before the same is created in Salesforce. This ensures data is clean and not duplicated in Salesforce.
During peak season, users experience a "Concurrent Request Limit Exceeded" error.
What is the recommended solution?
A. Invoke a continuation callout to MDM from a VF Page controller.
B. Invoke a continuation callout to MDM from a before insert trigger.
C. Invoke a continuation callout to MDM from a VF Page JavaScript.
D. Invoke a continuation callout to MDM from a VF Page @future call.
Answer: A
Question: 51
Which tool would an architect likely leverage while diagnosing issues with an inbound RESTful integration to
Salesforce?
A. Workbench
B. Data Loader
C. Force.com SOAP Explorer
D. Metadata audit trail
Answer: A
Question: 52
Universal Containers has just purchased large volume of contact data from an external vendor. The head of sales
would like to use the new data set within the existing production org. The production org currently contains a large
volume of contacts.
What should an Architect recommend to prevent data duplication in salesforce?
A. Load the data into salesforce and then utilize the contact Duplicate Rule feature
B. Utilize an off-platform de-duplication tool prior to loading.
C. Create a de-duplication trigger before loading the data.
D. Utilize a batch apex process to de-duplicate the data after loading.
Answer: B
Question: 53
Universal Containers has a requirement to query all Account records within Salesforce that were updated in the last 24
hours and obtain those Accounts to their data warehouse on a nightly basis. They expect the volume of records to
be between 500-1500 records per day.
What three techniques should an Architect consider? Choose 3 answers
A. Leverage a time-based workflow action to trigger an account outbound message notification for all records updated
within the last 24 hours.
B. Leverage the Enterprise WSDL getUpdated() operation to retrieve Account records updated within the last 24 hours.
C. Leverage the Salesforce Data Replication API getUpdated() operation to retrieve Accounts records updated within
the last 24 hours.
D. Leverage a third party tool ETL with a dynamic changing SOQL to retrieve Accounts updated within the last 24
hours.
E. Leverage the REST API / sObjects / Account / updated URI to retrieve Accounts records updated within the last 24
hours.
Answer: B,C,D
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SalesForce Architecture helper - BingNews https://killexams.com/pass4sure/exam-detail/Integration-Architecture-Designer Search results SalesForce Architecture helper - BingNews https://killexams.com/pass4sure/exam-detail/Integration-Architecture-Designer https://killexams.com/exam_list/SalesForce This Is What Whales Are Betting On Salesforce

Deep-pocketed investors have adopted a bearish approach towards Salesforce CRM, and it's something market players shouldn't ignore. Our tracking of public options records at Benzinga unveiled this significant move today. The identity of these investors remains unknown, but such a substantial move in CRM usually suggests something big is about to happen.

We gleaned this information from our observations today when Benzinga's options scanner highlighted 24 extraordinary options activities for Salesforce. This level of activity is out of the ordinary.

The general mood among these heavyweight investors is divided, with 33% leaning bullish and 66% bearish. Among these notable options, 10 are puts, totaling $980,886, and 14 are calls, amounting to $619,813.

What's The Price Target?

Based on the trading activity, it appears that the significant investors are aiming for a price territory stretching from $140.0 to $390.0 for Salesforce over the recent three months.

Insights into Volume & Open Interest

In terms of liquidity and interest, the mean open interest for Salesforce options trades today is 930.53 with a total volume of 5,604.00.

In the following chart, we are able to follow the development of volume and open interest of call and put options for Salesforce's big money trades within a strike price range of $140.0 to $390.0 over the last 30 days.

Salesforce Option Volume And Open Interest Over Last 30 Days

Largest Options Trades Observed:

Symbol PUT/CALL Trade Type Sentiment Exp. Date Strike Price Total Trade Price Open Interest Volume
CRM PUT SWEEP BEARISH 01/12/24 $255.00 $240.2K 752 1.0K
CRM PUT SWEEP BEARISH 01/12/24 $255.00 $204.2K 752 2.8K
CRM PUT SWEEP BULLISH 01/12/24 $255.00 $144.3K 752 7
CRM CALL TRADE BULLISH 01/17/25 $200.00 $107.2K 1.6K 0
CRM PUT SWEEP BULLISH 01/12/24 $255.00 $88.0K 752 517

About Salesforce

Salesforce Inc provides enterprise cloud computing solutions. The company offers customer relationship management technology that brings companies and customers together. Its Customer 360 platform helps the group to deliver a single source of truth, connecting customer data across systems, apps, and devices to help companies sell, service, market, and conduct commerce. It also offers Service Cloud for customer support, Marketing Cloud for digital marketing campaigns, Commerce Cloud as an e-commerce engine, the Salesforce Platform, which allows enterprises to build applications, and other solutions, such as MuleSoft for data integration.

After a thorough review of the options trading surrounding Salesforce, we move to examine the company in more detail. This includes an assessment of its current market status and performance.

Current Position of Salesforce

  • Currently trading with a volume of 2,053,020, the CRM's price is down by -1.15%, now at $253.19.
  • RSI readings suggest the stock is currently may be approaching overbought.
  • Anticipated earnings release is in 56 days.

What Analysts Are Saying About Salesforce

In the last month, 4 experts released ratings on this stock with an average target price of $307.5.

  • An analyst from Wolfe Research has elevated its stance to Outperform, setting a new price target at $315.
  • Maintaining their stance, an analyst from Piper Sandler continues to hold a Neutral rating for Salesforce, targeting a price of $285.
  • In a cautious move, an analyst from Wells Fargo downgraded its rating to Equal-Weight, setting a price target of $280.
  • Showing optimism, an analyst from Morgan Stanley upgrades its rating to Overweight with a revised price target of $350.

Trading options involves greater risks but also offers the potential for higher profits. Savvy traders mitigate these risks through ongoing education, strategic trade adjustments, utilizing various indicators, and staying attuned to market dynamics. Keep up with the latest options trades for Salesforce with Benzinga Pro for real-time alerts.

© 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Wed, 03 Jan 2024 03:15:00 -0600 en text/html https://www.benzinga.com/markets/options/24/01/36475361/this-is-what-whales-are-betting-on-salesforce
3 big-money AI jobs in the U.S. tech industry to banish your January blues

Join leaders in San Francisco on January 10 for an exclusive night of networking, insights, and conversation. Request an invite here.


If you’re trying to get back in the saddle after the holidays, it can be tough to motivate yourself. Making a career move can seem like a very exciting prospect — especially if facing another 12 months at your current role is filling you with dread.

You’re not alone if you do have a bad case of the January blues: according to jobs site Indeed, January is one of the most popular months to look for a new job, in part thanks to the fact that there are the largest numbers of open jobs available, as well as a high volume of applications.

When it comes to the sort of tech roles that are hot tickets for 2024, AI is out in front. In fact, according to new research from Bizreport, “the rise of artificial intelligence (AI) is reshaping the American job market”.

Not only do AI-related jobs offer 77.53% higher salaries than other occupations, but the pay gap between tech jobs and other occupations has also widened by 36% due to artificial intelligence.

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The AI Impact Tour

Getting to an AI Governance Blueprint – Request an invite for the Jan 10 event.

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And in even better news for those with the necessary skills is the fact that in 2023, 30.3% of computer science jobs were AI-related. This year, the picture looks even brighter with the potential for more than 131,000 AI-related roles in the computer science market.

So, if you are considering a job move, high-paying roles across the AI gamut are on offer right now. Explore those on the VentureBeat Job Board, or drive into the three roles highlighted below.

AI Architect, Salesforce, Dallas

A salary scale of $233,300 to $355,900 a year is on offer for this AI Architect job at Salesforce in Dallas. You should be a highly accomplished and transformative enterprise architect with a strong emphasis on machine learning (ML) design, solutioning and gen AI to play a pivotal role in shaping the technological landscape of the organization.

In this influential position, you will have the opportunity to be responsible for the organization’s ML and Gen AI initiatives, drive innovation and ensure that solutions are not only innovative, but also strategically aligned with business objectives.

To be considered, you’ll need proven experience as an enterprise architect or in a similar senior technical role, with a track record of building large-scale innovative AI products and solutions.

Strong knowledge of machine learning algorithms and predictive analytics is also necessary as is hands-on experience productionizing ML models (prototyping, training and serving) using ML frameworks such as AWS Sagemaker, Google Vertex, etc., as well as a strong familiarity with generative AI concepts and technologies. Find out more here.

AI Infrastructure Engineer, Intel, Santa Clara

Up to $250,410 a year is on offer for the right candidate for this AI Infrastructure Engineer role at Intel, where you will drive customers’ technical engagement with design-in, onboarding and architecting solutions.

You’ll also be the technical expert on all accelerator products, work with customers on their data center design with DAIS accelerators, including rack, power, network, storage, coolin, and CPU host, and provide advisory on data center customers’ system validation/qualification process and success criteria.

To be considered, you’ll need a deep understanding of key AI and datacenter technologies across silicon, system and software, an understanding of ecosystem players (OxM, ISV and partners) and strong communication and presentation skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. If this sounds like the job for you, apply here.

Generative AI Engineer, Booz Allen Hamilton, McLean

Booz Allen Hamilton is looking for a Generative AI Engineer with technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML and LLMs to solve real-world business and operational problems that will help the company execute missions of national importance.

A pay scale of $106,200 – $242,000 a year is on offer for the job, which will see the right candidate architect and build new generative AI-based products and offerings, as well as collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers and product owners to deliver world-class solutions.

If you have six or more years’ of experience in software engineering, including leading teams to build customer-facing solutions and products, as well as experience with integrating large language models or multi-modal models with applications or user interfaces and have led a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers and designers, then discover more about the job now.

For thousands of open tech roles all across the U.S., check out the VentureBeat Job Board today.

VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.

Tue, 02 Jan 2024 08:58:00 -0600 Kirstie McDermott en-US text/html https://venturebeat.com/programming-development/3-big-money-ai-jobs-in-the-u-s-tech-industry-to-banish-your-january-blues/
Salesforce Gives Help Desks A Social, Mobile Twist

Salesforce.com continued its social enterprise mission Tuesday with the launch of a customer service play, dubbed Desk.com, that the SaaS giant said injects social and mobile capabilities into the help desk.

According to San Francisco-based Salesforce, Desk.com lets businesses offer personal customer service via a social and mobile help desk and enables businesses to work with customers over major social networks, including Twitter and Facebook, or over e-mail, the phone or the Web.

Desk.com Mobile, meanwhile, "allows companies to carry a help desk in their pocket and answer customers on the go," according to Salesforce.

[Related: Dreamforce: Benioff Shines Light On Salesforce's Social Enterprise ]

“We built Desk.com so that every company can deliver personal customer service in a social and mobile world. Desk.com is social at its core; its mobile app instantly lets any employee, anywhere, deliver awesome customer service; and it can be deployed quickly and easily,” said Alex Bard, vice president and general manager of Desk.com, in a statement.

Salesforce said Desk.com taps into the growing social revolution in which the number of social networking users has eclipsed e-mail users and roughly one-quarter of the time spent online is spent on social networks.

Salesforce's Desk.com adds a social help desk that integrates social networks into other support channels such as e-mail, phone and Web into a single agent desktop. The Facebook and Twitter integrations are standard in Desk.com and accounts can be linked quickly to the Desk.com agent desktop.

Desk.com Mobile leverages HTML5 to let employees respond to customers from mobile devices, including iPhone and Android. The mobile version lets users access the same information as the standard version and respond using the same filters as the desktop client. Mobile users can also reassign, change groups, change status, change priority of cases and modify customer information, Salesforce said.

According to Salesforce, Desk.com can be deployed companywide in a weekend and offers easy sign-up, speedy deployment and easy reporting.

Desk.com is available now, starting at $49 per full-time agent per month with flex pricing available for $1 per part-time agent per hour. The mobile version is also available at no extra cost for full-time agents. Reporting for Desk.com is scheduled to launch in the first quarter of 2012.

Fri, 15 Dec 2023 13:13:00 -0600 text/html https://www.crn.com/news/cloud/232500784/salesforce-gives-help-desks-a-social-mobile-twist
2023: The Year Generative AI Transformed Enterprise Data Management

As we transition from one year to the next, it's a season of reflection and looking forward. As an analyst, the end of the year is a time to learn from past work, analyze its outcomes and consider its potential impact on the future.

In 2023, enterprise data management (EDT) solutions underwent significant changes due to the influx of generative AI technologies. These technologies have fundamentally altered how businesses approach data management, analysis and usage. In this post, I’ll review some of 2023’s highlights in this field.

How Different Areas Of EDT Are Evolving

Over the past year, there have been promising developments in EDT across several key areas. These include data management itself, where the focus has been on using AI to Improve how data is organized and accessed. The data cloud sector has also experienced growth, with more businesses adopting cloud-based solutions because of their flexibility, scalability and facility for integrating tools that handle unstructured data.

In data protection and governance, there has been a continuous effort to enhance security measures to safeguard sensitive information. Database technologies have also improved, particularly in handling and processing large data volumes more efficiently by incorporating generative AI.

Recent advancements in data integration and intelligent platforms have been geared towards better aggregating data from multiple sources, allowing for more comprehensive data analysis. The integration of AI and ML has further enhanced the capabilities of these platforms, improving data analysis interpretation and offering more profound and insightful analytical outcomes.

Full disclosure: Amazon Web Services, Cisco Systems, Cloudera, Cohesity, Commvault, Google Cloud, IBM, LogicMonitor, Microsoft, MongoDB, Oracle, Rubrik, Salesforce, Software AG, Splunk, and Veeam are clients of Moor Insights & Strategy, but this article reflects my independent viewpoint, and no one at any client company has been given editorial input on this piece.

Bringing AI To Data Management—And Vice Versa

“In a way, this AI revolution is actually a data revolution,” Salesforce cofounder and CTO Parker Harris said during his part of this year’s Dreamforce keynote, “because the AI revolution wouldn't exist without the power of all that data.” Harris's statement emphasizes the vital role of data in businesses and points to the increasing necessity for effective data management strategies in 2024.

As data becomes more central, the demand for scalable and secure EDT solutions is rising. My recent series of articles focusing on EDT began with an introductory piece outlining its fundamental aspects and implications for business operations. This was followed by a more in-depth exploration of EDT, particularly highlighting how it can benefit businesses in data utilization. These articles elaborated on the practical uses and benefits of EDT and its importance in guiding the strategies and operations of modern businesses.

As businesses continue to leverage generative AI for deeper insights, the greater accessibility of data is set to revolutionize how they manage information. This development means enterprises can now utilize data that was previously inaccessible—a move that highlights the importance of data integration for both business operations and strategic decision-making. For instance, untapped social media data could offer valuable customer sentiment insights, while neglected sensor data from manufacturing processes might reveal efficiency improvements. In both cases, not using this data equates to a missed opportunity to use an asset, similar to unsold inventory that takes up space and resources without providing any return.

Revolutionizing Data Cloud Platforms

Incorporating AI into data cloud platforms has revolutionized processing and analyzing data. These AI models can handle vast datasets more efficiently, extracting previously unattainable insights due to the limitations of traditional data analysis methods.

Over the year, my own collaborations with multiple companies suggested the range of technological progressions. As I highlighted in a few of my articles, Google notably improved its data cloud platform and focused on generative AI with projects including Gemini, Duet AI and Vertex AI, reflecting its solid commitment to AI innovation. Salesforce introduced the Einstein 1 Platform and later expanded its offerings with the Data Cloud Vector Database, providing users with access to their unstructured enterprise data, thus broadening the scope of their data intelligence. IBM also launched watsonx, a platform dedicated to AI development and data management. These moves from major tech firms reflect a trend towards advanced AI applications and more sophisticated data management solutions.

At the AWS re:Invent conference, I observed several notable launches. Amazon Q is a new AI assistant designed for business customization. Amazon DataZone was enhanced with AI features to Improve the handling of organizational data. The AWS Supply Chain service received updates to help with forecasting, inventory management and supplier communications. Amazon Bedrock, released earlier in the year, now includes access to advanced AI models from leading AI companies. A new storage class, Amazon S3 Express One Zone, was introduced for rapid data access needs. Additionally, Amazon Redshift received upgrades to Improve query performance. These developments reflect AWS's focus on integrating AI and optimizing data management and storage capabilities.

Recent articles have highlighted Microsoft's role in the AI renaissance, one focusing on the launch of Copilot as covered by my colleagues at Moor Insights & Strategy, and another analyzing the competitive dynamics in the AI industry. Additionally, Microsoft has expanded its data platform capabilities by integrating AI into Fabric, a comprehensive analytics solution. This suite includes a range of services including a data lake, data engineering and data integration, all conveniently centralized in one location. In collaboration, Oracle and Microsoft have partnered to make Oracle Database available on the Azure platform, showcasing a strategic move in cloud computing and database management.

Automating Data Protection And Governance

With the growing importance of data privacy and security, AI increasingly enables the automation of data governance, compliance and cybersecurity processes, reducing the need for manual oversight and intervention. This trend comes in response to the rise in incidents of data breaches and cyberattacks. AI-driven systems have become more proficient at monitoring data usage, ensuring adherence to legal standards and identifying potential security or compliance issues. This makes them a better option than traditional manual approaches for ensuring data safety and compliance.

Security is not only about protecting data but also about ensuring it can recover quickly from any disruptions, a quality known as data resilience. This resilience has become a key part of security strategies for forward-thinking businesses. Veeam emphasized “Radical Resilience” when it rolled out a new data protection initiative focused on better products, improved service and testing, continuous releases and greater accountability. Meanwhile, Rubrik introduced its security cloud, which focuses on data protection, threat analytics, security posture and cyber recovery. Cohesity, which specializes in AI-powered data security and management, is now offering features such as immutable backup snapshots and AI-driven threat detection; in 2023, it also unveiled a top-flight CEO advisory council to influence strategic decisions. Commvault has incorporated AI into its services, offering a new product that combines its SaaS and software data protection into one platform.

LogicMonitor upgraded its platform for monitoring and observability to include support for hybrid IT infrastructures. This enhancement allows for better monitoring across an organization's diverse IT environments. Additionally, Cisco has announced its intention to acquire Splunk. This acquisition will integrate Splunk's expertise in areas such as security information and event management, ransomware tools, industrial IoT vulnerability alerting, user behavior analytics and orchestration and digital experience monitoring that includes visibility into the performance of the underlying infrastructure.

Key Changes for Database Technology

Advancements in AI and ML integration are making database technology more intuitive and efficient. Oracle Database 23c features AI Vector Search, which simplifies interactions with data by using ML to identify similar objects in datasets. Oracle also introduced the Fusion Data Intelligence Platform, which combines data, analytics, AI models and apps to provide a comprehensive view of various business aspects. The platform also employs AI/ML models to automate tasks including data categorization, anomaly detection, predictive analytics for forecasting and customer segmentation, workflow optimization and robotic process automation.

In my previous discussion about IBM's partnership with AWS, a major highlight is the integration of Amazon Relational Database Service with IBM Db2. This collaboration brings a fully managed Db2 database engine to AWS's infrastructure, offering scalability and various storage options. The partnership between AWS and IBM will likely grow as the trend of companies forming more integrated and significant ecosystems continues.

Database technology also evolved with MongoDB queryable encryption features for continuous data content concealment. MongoDB Atlas Vector Search now also integrates with Amazon Bedrock, which enables developers to deploy generative AI applications on AWS more effectively. It’s also notable that Couchbase announced Capella iQ, which integrates generative AI technologies that exploit natural language processing to automatically create demo code, data sets and even unit tests. By doing this, the tool is streamlining the development process, enabling developers to focus more on high-level tasks rather than the nitty-gritty of code writing.

Leveraging Data Integration Platforms

Generative AI technologies have also improved data integration capabilities by using historical data, analyses of trends, customer behaviors and market dynamics. This advancement is particularly influential in the finance, retail and healthcare sectors, where predictive insights are critical for strategic and operational decisions. There's been a shift towards adopting data lake house architectures, which combine the features of data lakes and data warehouses to help meet the challenges of handling large, varied data types and formats, providing both scalability and efficient management. This evolution in data architecture caters to the growing complexity and volume of data in various industries.

Integrating various data sources is crucial for many companies to enhance their business operations. Software AG has introduced Super iPaaS, an evolution of the traditional integration platform as a service (iPaaS). This advanced platform is AI-enabled and designed to integrate hybrid environments, offering expansive integration capabilities. Cloudera has also made strides with new data management features that incorporate generative AI, enabling the use of unstructured data both on-premises and in cloud environments. Its hybrid approach effectively consolidates client data for better management. Informatica's intelligent data management cloud platform integrates AI and automation tools, streamlining the process of collecting, integrating, cleaning and analyzing data from diverse sources and formats. This creates an accessible data repository that benefits business intelligence and analytics.

That’s a Wrap!

In my collaborations throughout the year with various companies, one key theme has emerged in this AI-driven era – data has become even more fundamentally important for businesses. It's clear that the success of AI heavily relies on the quality of the data it uses, and AI models are effective only when the data they process is accurate, relevant and unbiased.

For example, in applications such as CRM or supply chain optimization, outcomes are directly influenced by the data’s integrity. Instances where AI failed to meet expectations could often be traced to poor data quality, whether it was incomplete, outdated or biased. This year has highlighted the necessity of not just collecting large amounts of data but ensuring its quality and relevance. Real-world experience underscores the need for strict data governance and the implementation of systems that guarantee data accuracy and fairness, all of which are essential for the effective use of AI in business.

As AI technology advances and data quality improves, the use of generative AI in understanding and engaging with customers is becoming ever more prominent. Backed by good data management, this enhances the customer experience by making the customer journey more personalized and informative. It allows businesses to gain valuable insights from customer interactions, helping them continuously refine and Improve their offerings and customer relations. I expect this trend to grow, further emphasizing the role of AI in customer engagement and shaping business strategies. In fact, this symbiotic relationship between AI-driven personalization and customer engagement is becoming a cornerstone of not only data management strategy but modern business strategy overall, significantly impacting how companies connect with their customers.

Wrapping up, it's evident that the emphasis on data quality is critical for improving AI's performance. Data management, cloud services, data protection and governance, databases, data integration and intelligent platforms have all significantly contributed to the advancement of AI. In 2024, I expect we’ll see even more emphasis on ensuring the accuracy and relevance of data so that AI can provide dependable insights.

Sun, 31 Dec 2023 09:37:00 -0600 Robert Kramer en text/html https://www.forbes.com/sites/moorinsights/2023/12/31/2023-the-year-generative-ai-transformed-enterprise-data-management/
Salesforce Services Market Set to Surge with a 14.4% CAGR, Aiming for a Whopping US$ 33.5 Billion by 2029

The salesforce services market is set to top US$ 13 Billion in 2022 and is predicted to expand at a stupendous CAGR of 14.4% to reach a valuation of US$ 33.5 Billion by 2029. Salesforce services currently account for a 2% share in the global IT services market. Market development is mainly forced by the increasing adoption of salesforce services in the BFSI industry.

As Salesforce services defy the ‘one-size-fits-all’ concept, service providers are offering end-to-end assistance to help end-users get services that are best suited to their requirements. With thousands of Salesforce implementations across multiple enterprises, the Salesforce service providers are extensively focusing on creating impactful experiences to generate substantial profits.

Opportunities galore for manufacturers with the increasing focus of businesses on improved customer engagement and interaction – key imperative driving growth and profitability amid competitive spaces.

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Some of the highly-effective Salesforce offerings- marketing cloud, commerce cloud, and community cloud to name a few- have gained immense popularity over the years, which is further nudging businesses to choose Salesforce services for long-term returns.

North America – A Hub of Opportunities for Service Providers:
According to the report, the increasing adoption of Salesforce services in the BFSI sector is likely to continue, making it one of the most lucrative verticals for Salesforce service vendors. Over the years, the focus of BFSI has shifted toward fruitful customer engagement in real-time and across any device. This, in turn, is pushing the demand for the adoption of Salesforce services in BFSI, thereby giving new opportunities for the Salesforce service vendors to reap profits.

Growth prospects for the Salesforce services, as the report opines, are high in North America, particularly in the US. In addition, the adoption of Salesforce services in Western Europe is estimated to intensify by the end of 2029, which is likely to encourage the vendors to solidify their service capabilities.

As far as growth and expansion are concerned, strategic business partnerships and acquisitions will continue to be the best way forward for vendors. Those alliances will lay the foundation for bespoke innovations to come to the fore, thereby creating a ‘win-win’ for both parties involved. Considering the challenges enterprises face in terms of Salesforce deployment, key service providers active in the market will continue to focus on offering unmatched support and assistance in a bid to ensure client satisfaction and engagement.

In addition, Salesforce service providers will also continue to center on getting ‘Salesforce service certifications’ to reap benefits in the long run, as these certifications will not only help them strengthen their core competencies but also expand their client bases.

Leading Key Players:
Since there are so many companies actively providing salesforce services, the nature of the market has become quite competitive. SAP SE, Oracle Corporation, Microsoft Corporation, Salesforce.com Inc., Adobe Inc., DXC Technology, Accenture PLC, IBM Corporation, Pegasystems Inc., Verint Systems Inc., Tata Consultancy Services Limited, and AT&T Inc. are some of the leading salesforce service companies.

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Salesforce Services Market Segmentation:

By Type of Service:

  • Planning
    • Advisory Services
    • Change Management
  • Implementation
    • Integrated Services
    • Custom Application Development
    • Application Modernisation and Data Migration
    • Testing Services
  • Manage
    • Monitoring
    • Upgrade
    • Governance
    • Helpdesk
    • Training
    • BPO

By Application:

  • Sales Cloud
  • Service Cloud
  • Marketing Cloud
  • App Cloud
  • Commerce Cloud
  • Analytics

By Vertical:

  • Salesforce Services in BFSI
  • Salesforce Services in Healthcare and Life Sciences
  • Salesforce Services in Media and Telecom
  • Salesforce Services in Retail and CPG
  • Salesforce Services in Government
  • Salesforce Services in Manufacturing
  • Salesforce Services in High Technology
  • Salesforce Services in Energy & Utilities

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East & Africa (MEA)

About Future Market Insights (FMI):

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Sun, 31 Dec 2023 20:05:00 -0600 en-US text/html https://www.fmiblog.com/2024/01/01/salesforce-services-market-set-to-surge-with-a-14-4-cagr-aiming-for-a-whopping-us-33-5-billion-by-2029/
Revolutionary Cloud-Based Data Integration Unveiled: An Expert Insight Into Quote To Cash Architecture No result found, try new keyword!Leading the charge is a dedicated and driven professional, the Senior Systems Architect at Toast, Inc., Hemavantha Rajesh Varma Mudunuri, whose exemplary achievements in the field of Salesforce ... Tue, 05 Sep 2023 07:40:00 -0500 en-US text/html https://www.outlookindia.com/business-spotlight/revolutionary-cloud-based-data-integration-unveiled-an-expert-insight-into-quote-to-cash-architecture-news-315948 Open-source customer data platforms: Can you unleash your data for less? No result found, try new keyword!Is an open-source CDP right for your organization? That depends. The post Open-source customer data platforms: Can you unleash your data for less? appeared first on MarTech. Tue, 02 Jan 2024 01:20:37 -0600 en-us text/html https://www.msn.com/ Generative AI to help transform healthcare: Salesforce

Artificial Intelligence (AI) will be used as a force for good, but only with equitable access and generative AI will help healthcare to begin a once-in-a-lifetime transformation, say experts at Salesforce, a cloud-based US software firm.

“AI presents a massive and exciting opportunity for purpose-driven organisations to better serve their communities – but adopting this technology will require funding and expertise that many resource-constrained organisations lack.

“This will be a critical new endeavor for the philanthropic community: ensuring equitable access to AI for the nonprofits that are tackling the world’s toughest social and environmental challenges,” says Becky Ferguson, CEO, Salesforce Foundation, and SVP of Philanthropy, Salesforce.

Changing the cost trajectory

“The US alone spends $3.7 trillion on healthcare, which equates to $1 trillion in administrative waste. With this in mind, my prediction is that generative AI will transform healthcare, fundamentally changing the cost trajectory of the industry. The technology will be used to create efficiencies in claim management and summarisation, turn unstructured data into insights and spot patterns to predict at-risk patients, and create new diagnosis and prevention checkpoints,” says Amit Khanna, SVP & GM, Health & Life Sciences, Salesforce.

Besides, AI will help fight the climate crisis and help sustainability reporting standards to grow up. “2023 has been a frightening year for our planet. And yet, we have promising AI-powered solutions for both climate change mitigation and climate adaptation. WeaveGrid deploys machine learning to optimally orchestrate EV charging for utilities, automakers, and drivers, while Pano AI uses AI to detect wildfires earlier,” says Claudine Emeott, Partner, Salesforce Ventures.

“Companies will increasingly face a global web of more rigorous standards due to new climate-related reporting requirements — from the recently passed SB 253 in California to the upcoming SEC climate disclosure rule to the EU’s Corporate Sustainability Reporting Directive. AI will be a crucial tool to help businesses meet these standards while reducing the burden of sustainability reporting,” says Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce.

Copyright 2022 Al Hilal Publishing and Marketing Group Provided by SyndiGate Media Inc. (Syndigate.info).

Mon, 01 Jan 2024 10:00:00 -0600 en text/html https://www.zawya.com/en/business/healthcare/generative-ai-to-help-transform-healthcare-salesforce-vx1bqnlt
Generative AI to help transform healthcare: Salesforce

Artificial Intelligence (AI) will be used as a force for good, but only with equitable access and generative AI will help healthcare to begin a once-in-a-lifetime transformation, say experts at Salesforce, a cloud-based US software firm.  

“AI presents a massive and exciting opportunity for purpose-driven organisations to better serve their communities – but adopting this technology will require funding and expertise that many resource-constrained organisations lack. 

“This will be a critical new endeavor for the philanthropic community: ensuring equitable access to AI for the nonprofits that are tackling the world’s toughest social and environmental challenges,” says Becky Ferguson, CEO, Salesforce Foundation, and SVP of Philanthropy, Salesforce.

Changing the cost trajectory

“The US alone spends $3.7 trillion on healthcare, which equates to $1 trillion in administrative waste. With this in mind, my prediction is that generative AI will transform healthcare, fundamentally changing the cost trajectory of the industry. The technology will be used to create efficiencies in claim management and summarisation, turn unstructured data into insights and spot patterns to predict at-risk patients, and create new diagnosis and prevention checkpoints,” says Amit Khanna, SVP & GM, Health & Life Sciences, Salesforce.

Besides, AI will help fight the climate crisis and help sustainability reporting standards to grow up. “2023 has been a frightening year for our planet. And yet, we have promising AI-powered solutions for both climate change mitigation and climate adaptation. WeaveGrid deploys machine learning to optimally orchestrate EV charging for utilities, automakers, and drivers, while Pano AI uses AI to detect wildfires earlier,” says Claudine Emeott, Partner, Salesforce Ventures.

“Companies will increasingly face a global web of more rigorous standards due to new climate-related reporting requirements — from the recently passed SB 253 in California to the upcoming SEC climate disclosure rule to the EU’s Corporate Sustainability Reporting Directive. AI will be a crucial tool to help businesses meet these standards while reducing the burden of sustainability reporting,” says Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce.--TradeArabia News Service

Mon, 01 Jan 2024 20:22:00 -0600 text/html http://www.tradearabia.com/news/IT_417352.html




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