diff --git a/automl/13a.auto-ml-dataprep.ipynb b/automl/13a.auto-ml-dataprep.ipynb
index ec7ecf28..bddeeff2 100644
--- a/automl/13a.auto-ml-dataprep.ipynb
+++ b/automl/13a.auto-ml-dataprep.ipynb
@@ -110,10 +110,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# You can use `smart_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
+    "# You can use `auto_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
     "# The data referenced here was pulled from `sklearn.datasets.load_digits()`.\n",
     "simple_example_data_root = 'https://dprepdata.blob.core.windows.net/automl-notebook-data/'\n",
-    "X = dprep.smart_read_file(simple_example_data_root + 'X.csv').skip(1)  # Remove the header row.\n",
+    "X = dprep.auto_read_file(simple_example_data_root + 'X.csv').skip(1)  # Remove the header row.\n",
     "\n",
     "# You can also use `read_csv` and `to_*` transformations to read (with overridable delimiter)\n",
     "# and convert column types manually.\n",
@@ -394,7 +394,7 @@
    "outputs": [],
    "source": [
     "# sklearn.digits.data + target\n",
-    "digits_complete = dprep.smart_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
+    "digits_complete = dprep.auto_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
    ]
   },
   {
diff --git a/automl/13b.auto-ml-dataprep-remote-execution.ipynb b/automl/13b.auto-ml-dataprep-remote-execution.ipynb
index 3f895f2c..76db3e69 100644
--- a/automl/13b.auto-ml-dataprep-remote-execution.ipynb
+++ b/automl/13b.auto-ml-dataprep-remote-execution.ipynb
@@ -112,10 +112,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# You can use `smart_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
+    "# You can use `auto_read_file` which intelligently figures out delimiters and datatypes of a file.\n",
     "# The data referenced here was pulled from `sklearn.datasets.load_digits()`.\n",
     "simple_example_data_root = 'https://dprepdata.blob.core.windows.net/automl-notebook-data/'\n",
-    "X = dprep.smart_read_file(simple_example_data_root + 'X.csv').skip(1)  # Remove the header row.\n",
+    "X = dprep.auto_read_file(simple_example_data_root + 'X.csv').skip(1)  # Remove the header row.\n",
     "\n",
     "# You can also use `read_csv` and `to_*` transformations to read (with overridable delimiter)\n",
     "# and convert column types manually.\n",
@@ -443,7 +443,7 @@
    "outputs": [],
    "source": [
     "# sklearn.digits.data + target\n",
-    "digits_complete = dprep.smart_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
+    "digits_complete = dprep.auto_read_file('https://dprepdata.blob.core.windows.net/automl-notebook-data/digits-complete.csv')"
    ]
   },
   {